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| 【计算机视觉联盟】回复【20211123】即可获得百度云pdf下载链接 | 985AI博士，CSDN博客专家,备注：笔记，可获独家笔记 |
1 AugMax: Adversarial Composition of Random Augmentations for Robust Training HAOTAO N. WANG; CHAOWEI XIAO; JEAN KOSSAIFI; ZHIDING YU; ANIMA ANANDKUMAR; ZHANGYANG WANG; code
2 Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods SEOHONG PARK; JAEKYEOM KIM; GUNHEE KIM; code
3 Learning Space Partitions for Path Planning KEVIN YANG; TIANJUN ZHANG; CHRIS CUMMINS; BRANDON CUI; BENOIT STEINER; LINNAN WANG; JOSEPH E. GONZALEZ; DAN KLEIN; YUANDONG TIAN; code
4 Neighborhood Reconstructing Autoencoders YONGHYEON LEE; HYEOKJUN KWON; FRANK PARK; code
5 Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision KEJI HE; YAN HUANG; QI WU; JIANHUA YANG; DONG AN; SHUANGLIN SIMA; LIANG WANG; code
6 A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness JAMES DIFFENDERFER; BRIAN BARTOLDSON; SHREYA CHAGANTI; JIZE ZHANG; BHAVYA KAILKHURA; code
7 Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples SUNGYOON LEE; WOOJIN LEE; JINSEONG PARK; JAEWOOK LEE; code
8 Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage JONATHAN CHANG; MASATOSHI UEHARA; DHRUV SREENIVAS; RAHUL KIDAMBI; WEN SUN; code
9 Global Filter Networks for Image Classification YONGMING RAO; WENLIANG ZHAO; ZHENG ZHU; JIWEN LU; JIE ZHOU; code
10 Catastrophic Data Leakage in Vertical Federated Learning XIAO JIN; PIN-YU CHEN; CHIA-YI HSU; CHIA-MU YU; TIANYI CHEN; code
11 Compacter: Efficient Low-Rank Hypercomplex Adapter Layers RABEEH KARIMI MAHABADI; JAMES HENDERSON; SEBASTIAN RUDER; code
12 Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation LEI KE; XIA LI; MARTIN DANELLJAN; YU-WING TAI; CHI-KEUNG TANG; FISHER YU; code
13 Scalable Intervention Target Estimation in Linear Models BURAK VARICI; KARTHIKEYAN SHANMUGAM; PRASANNA SATTIGERI; ALI TAJER; code
14 Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence QI QI; YOUZHI LUO; ZHAO XU; SHUIWANG JI; TIANBAO YANG; code
15 You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership XUXI CHEN; TIANLONG CHEN; ZHENYU ZHANG; ZHANGYANG WANG; code
16 Breaking the Dilemma of Medical Image-to-image Translation LINGKE KONG; CHENYU LIAN; DETIAN HUANG; ZHENJIANG LI; YANLE HU; QICHAO ZHOU; code
17 TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification SHENGCAI LIAO; LING SHAO; code
18 Do Input Gradients Highlight Discriminative Features? HARSHAY SHAH; PRATEEK JAIN; PRANEETH NETRAPALLI; code
19 TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification ZHUCHEN SHAO; HAO BIAN; YANG CHEN; YIFENG WANG; JIAN ZHANG; XIANGYANG JI; YONGBING ZHANG; code
20 Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots JAGDEEP BHATIA; HOLLY JACKSON; YUNSHENG TIAN; JIE XU; WOJCIECH MATUSIK; code
21 Representation Learning on Spatial Networks ZHENG ZHANG; LIANG ZHAO; code
22 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation TAI-YU PAN; CHENG ZHANG; YANDONG LI; HEXIANG HU; DONG XUAN; SORAVIT CHANGPINYO; BOQING GONG; WEI-LUN CHAO; code
23 Test-Time Personalization with a Transformer for Human Pose Estimation YIZHUO LI; MIAO HAO; ZONGLIN DI; NITESH BHARADWAJ GUNDAVARAPU; XIAOLONG WANG; code
24 Confident Anchor-Induced Multi-Source Free Domain Adaptation JIAHUA DONG; ZHEN FANG; ANJIN LIU; GAN SUN; TONGLIANG LIU; code
25 Word2Fun: Modelling Words as Functions for Diachronic Word Representation BENYOU WANG; EMANUELE DI BUCCIO; MASSIMO MELUCCI; code
26 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators YUNHUI LONG; BOXIN WANG; ZHUOLIN YANG; BHAVYA KAILKHURA; ASTON ZHANG; CARL GUNTER; BO LI; code
27 Visual Adversarial Imitation Learning using Variational Models RAFAEL RAFAILOV; TIANHE YU; ARAVIND RAJESWARAN; CHELSEA FINN; code
28 Exploring Forensic Dental Identification with Deep Learning YUAN LIANG; WEIKUN HAN; LIANG QIU; CHEN WU; YITING SHAO; KUN WANG; LEI HE; code
29 Pooling by Sliced-Wasserstein Embedding NAVID NADERIALIZADEH; JOSEPH COMER; REED ANDREWS; HEIKO HOFFMANN; SOHEIL KOLOURI; code
30 RMM: Reinforced Memory Management for Class-Incremental Learning YAOYAO LIU; BERNT SCHIELE; QIANRU SUN; code
31 Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) JIE BU; ARKA DAW; M. MARUF; ANUJ KARPATNE; code
32 Tractable Regularization of Probabilistic Circuits ANJI LIU; GUY VAN DEN BROECK; code
33 On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness ERIC MINTUN; ALEXANDER KIRILLOV; SAINING XIE; code
34 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience DOMINIC GONSCHOREK; LARISSA H�FLING; KLAUDIA SZATKO; KATRIN FRANKE; TIMM SCHUBERT; BENJAMIN DUNN; PHILIPP BERENS; DAVID KLINDT; THOMAS EULER; code
35 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness JIE REN; DIE ZHANG; YISEN WANG; LU CHEN; ZHANPENG ZHOU; YITING CHEN; XU CHENG; XIN WANG; MENG ZHOU; JIE SHI; QUANSHI ZHANG; code
36 Adaptable Agent Populations via a Generative Model of Policies KENNETH DEREK; PHILLIP ISOLA; code
37 Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity YAN LIU; ZHIJIE ZHANG; LI NIU; JUNJIE CHEN; LIQING ZHANG; code
38 Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention BYUNG-HOON KIM; JONG CHUL YE; JAE-JIN KIM; code
39 Probabilistic Attention for Interactive Segmentation PRASAD GABBUR; MANJOT BILKHU; JAVIER MOVELLAN; code
40 Offline Meta Reinforcement Learning — Identifiability Challenges and Effective Data Collection Strategies RON DORFMAN; IDAN SHENFELD; AVIV TAMAR; code
41 SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search QI CHEN; BING ZHAO; HAIDONG WANG; MINGQIN LI; CHUANJIE LIU; ZHIYONG ZHENG; MAO YANG; JINGDONG WANG; code
42 Accurate Point Cloud Registration with Robust Optimal Transport ZHENGYANG SHEN; JEAN FEYDY; PEIRONG LIU; ARIEL CURIALE; RUBEN SAN JOSE ESTEPAR; RAUL SAN JOSE ESTEPAR; MARC NIETHAMMER; code
43 RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem ERIC LIANG; ZHANGHAO WU; MICHAEL LUO; SVEN MIKA; JOSEPH E. GONZALEZ; ION STOICA; code
44 Dynamic Grained Encoder for Vision Transformers LIN SONG; SONGYANG ZHANG; SONGTAO LIU; ZEMING LI; XUMING HE; HONGBIN SUN; JIAN SUN; NANNING ZHENG; code
45 ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE QINGZHONG AI; LIRONG HE; SHIYU LIU; ZENGLIN XU; code
46 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling ZIYU JIANG; TIANLONG CHEN; TING CHEN; ZHANGYANG WANG; code
47 Multi-Person 3D Motion Prediction with Multi-Range Transformers JIASHUN WANG; HUAZHE XU; MEDHINI NARASIMHAN; XIAOLONG WANG; code
48 Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis TIANCHANG SHEN; JUN GAO; KANGXUE YIN; MING-YU LIU; SANJA FIDLER; code
49 On Success and Simplicity: A Second Look at Transferable Targeted Attacks ZHENGYU ZHAO; ZHUORAN LIU; MARTHA LARSON; code
50 Adversarial Robustness with Semi-Infinite Constrained Learning ALEXANDER ROBEY; LUIZ CHAMON; GEORGE PAPPAS; HAMED HASSANI; ALEJANDRO RIBEIRO; code
51 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima GUANGYUAN SHI; JIAXIN CHEN; WENLONG ZHANG; LI-MING ZHAN; XIAO-MING WU; code
52 Antipodes of Label Differential Privacy: PATE and ALIBI MANI MALEK ESMAEILI; ILYA MIRONOV; KARTHIK PRASAD; IGOR SHILOV; FLORIAN TRAMER; code
53 Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases SHASHI KANT GUPTA; MENGMI ZHANG; CHIA-CHIEN WU; JEREMY WOLFE; GABRIEL KREIMAN; code
54 HRFormer: High-Resolution Vision Transformer for Dense Predict YUHUI YUAN; RAO FU; LANG HUANG; WEIHONG LIN; CHAO ZHANG; XILIN CHEN; JINGDONG WANG; code
55 Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders AMRUTHA SASEENDRAN; KATHRIN SKUBCH; STEFAN FALKNER; MARGRET KEUPER; code
56 Neural Ensemble Search for Uncertainty Estimation and Dataset Shift SHEHERYAR ZAIDI; ARBER ZELA; THOMAS ELSKEN; CHRIS C. HOLMES; FRANK HUTTER; YEE TEH; code
57 Gradual Domain Adaptation without Indexed Intermediate Domains HONG-YOU CHEN; WEI-LUN CHAO; code
58 Implicit SVD for Graph Representation Learning SAMI ABU-EL-HAIJA; HESHAM MOSTAFA; MARCEL NASSAR; VALENTINO CRESPI; GREG VER STEEG; ARAM GALSTYAN; code
59 Searching the Search Space of Vision Transformer MINGHAO CHEN; KAN WU; BOLIN NI; HOUWEN PENG; BEI LIU; JIANLONG FU; HONGYANG CHAO; HAIBIN LING; code
60 CATs: Cost Aggregation Transformers for Visual Correspondence SEOKJU CHO; SUNGHWAN HONG; SANGRYUL JEON; YUNSUNG LEE; KWANGHOON SOHN; SEUNGRYONG KIM; code
61 SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients FEIHU HUANG; JUNYI LI; HENG HUANG; code
62 Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation SOUVIK KUNDU; QIRUI SUN; YAO FU; MASSOUD PEDRAM; PETER BEEREL; code
63 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes SANGHYUN HONG; MICHAEL-ANDREI PANAITESCU-LIESS; YIGITCAN KAYA; TUDOR DUMITRAS; code
64 Integrating Tree Path in Transformer for Code Representation HAN PENG; GE LI; WENHAN WANG; YUNFEI ZHAO; ZHI JIN; code
65 Compositional Transformers for Scene Generation DOR ARAD HUDSON; LARRY ZITNICK; code
66 Align before Fuse: Vision and Language Representation Learning with Momentum Distillation JUNNAN LI; RAMPRASAATH SELVARAJU; AKHILESH GOTMARE; SHAFIQ JOTY; CAIMING XIONG; STEVEN CHU HONG HOI; code
67 Can fMRI reveal the representation of syntactic structure in the brain? ANIKETH JANARDHAN REDDY; LEILA WEHBE; code
68 Robust Implicit Networks via Non-Euclidean Contractions SABER JAFARPOUR; ALEXANDER DAVYDOV; ANTON PROSKURNIKOV; FRANCESCO BULLO; code
69 Sparse Training via Boosting Pruning Plasticity with Neuroregeneration SHIWEI LIU; TIANLONG CHEN; XIAOHAN CHEN; ZAHRA ATASHGAHI; LU YIN; HUANYU KOU; LI SHEN; MYKOLA PECHENIZKIY; ZHANGYANG WANG; DECEBAL CONSTANTIN MOCANU; code
70 Differentiable Quality Diversity MATTHEW FONTAINE; STEFANOS NIKOLAIDIS; code
71 Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning YIQIN YANG; XIAOTENG MA; LI CHENGHAO; ZEWU ZHENG; QIYUAN ZHANG; GAO HUANG; JUN YANG; QIANCHUAN ZHAO; code
72 K-Net: Towards Unified Image Segmentation WENWEI ZHANG; JIANGMIAO PANG; KAI CHEN; CHEN CHANGE LOY; code
73 Universal Graph Convolutional Networks DI JIN; ZHIZHI YU; CUIYING HUO; RUI WANG; XIAO WANG; DONGXIAO HE; JIAWEI HAN; code
74 Adversarial Feature Desensitization POUYA BASHIVAN; REZA BAYAT; ADAM IBRAHIM; KARTIK AHUJA; MOJTABA FARAMARZI; TOURAJ LALEH; BLAKE RICHARDS; IRINA RISH; code
75 Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition MARK BOSS; VARUN JAMPANI; RAPHAEL BRAUN; CE LIU; JONATHAN BARRON; HENDRIK LENSCH; code
76 Extracting Deformation-Aware Local Features by Learning to Deform GUILHERME POTJE; RENATO MARTINS; FELIPE CHAMONE; ERICKSON NASCIMENTO; code
77 Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization ZHENGHAO PENG; QUANYI LI; KA MING HUI; CHUNXIAO LIU; BOLEI ZHOU; code
78 R-Drop: Regularized Dropout for Neural Networks XIAOBO LIANG; LIJUN WU; JUNTAO LI; YUE WANG; QI MENG; TAO QIN; WEI CHEN; MIN ZHANG; TIE-YAN LIU; code
79 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning SUNGMIN CHA; BEOMYOUNG KIM; YOUNGJOON YOO; TAESUP MOON; code
80 Dynamic Normalization and Relay for Video Action Recognition DONGQI CAI; ANBANG YAO; YURONG CHEN; code
81 Hyperparameter Tuning is All You Need for LISTA XIAOHAN CHEN; JIALIN LIU; ZHANGYANG WANG; WOTAO YIN; code
82 Detecting Moments and Highlights in Videos via Natural Language Queries JIE LEI; TAMARA BERG; MOHIT BANSAL; code
83 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data GONGFAN FANG; YIFAN BAO; JIE SONG; XINCHAO WANG; DONGLIN XIE; CHENGCHAO SHEN; MINGLI SONG; code
84 Not All Images are Worth 16×16 Words: Dynamic Transformers for Efficient Image Recognition YULIN WANG; RUI HUANG; SHIJI SONG; ZEYI HUANG; GAO HUANG; code
85 Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks HASSAN DBOUK; NARESH SHANBHAG; code
86 Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems WENQING ZHENG; QIANGQIANG GUO; HAO YANG; PEIHAO WANG; ZHANGYANG WANG; code
87 Object-aware Contrastive Learning for Debiased Scene Representation SANGWOO MO; HYUNWOO KANG; KIHYUK SOHN; CHUN-LIANG LI; JINWOO SHIN; code
88 D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation ABHISHEK SINHA; JIAMING SONG; CHENLIN MENG; STEFANO ERMON; code
89 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? XIAOLONG MA; GENG YUAN; XUAN SHEN; TIANLONG CHEN; XUXI CHEN; XIAOHAN CHEN; NING LIU; MINGHAI QIN; SIJIA LIU; ZHANGYANG WANG; YANZHI WANG; code
90 Direct Multi-view Multi-person 3D Pose Estimation TAO WANG; JIANFENG ZHANG; YUJUN CAI; SHUICHENG YAN; JIASHI FENG; code
91 Representing Long-Range Context for Graph Neural Networks with Global Attention PARAS JAIN; ZHANGHAO WU; MATTHEW WRIGHT; AZALIA MIRHOSEINI; JOSEPH E. GONZALEZ; ION STOICA; code
92 Channel Permutations for N:M Sparsity JEFF POOL; CHONG YU; code
93 Video Instance Segmentation using Inter-Frame Communication Transformers SUKJUN HWANG; MIRAN HEO; SEOUNG WUG OH; SEON JOO KIM; code
94 ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation GUOQIANG WEI; CUILING LAN; WENJUN ZENG; ZHIZHENG ZHANG; ZHIBO CHEN; code
95 DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification YONGMING RAO; WENLIANG ZHAO; BENLIN LIU; JIWEN LU; JIE ZHOU; CHO-JUI HSIEH; code
96 Exponential Graph is Provably Efficient for Decentralized Deep Training BICHENG YING; KUN YUAN; YIMING CHEN; HANBIN HU; PAN PAN; WOTAO YIN; code
97 Generalized DataWeighting via Class-Level Gradient Manipulation CAN CHEN; SHUHAO ZHENG; XI CHEN; ERQUN DONG; [XUE (STEVE)
LIU](https://www.expertkg.com/isearch/?name=xue_(steve)_liu); HAO LIU; DEJING DOU; code
98 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation MINGGUO HE; ZHEWEI WEI; ZENGFENG HUANG; HONGTENG XU; code
99 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning KRISHNATEJA KILLAMSETTY; XUJIANG ZHAO; FENG CHEN; RISHABH IYER; code
100 Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State MINGQING XIAO; QINGYAN MENG; ZONGPENG ZHANG; YISEN WANG; ZHOUCHEN LIN; code
101 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning MILAD ABDOLLAHZADEH; TOUBA MALEKZADEH; [NGAI-MAN (MAN)
CHEUNG](https://www.expertkg.com/isearch/?name=ngai-man_(man)_cheung); code
102 TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up YIFAN JIANG; SHIYU CHANG; ZHANGYANG WANG; code
103 Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples KANGHYUN CHOI; DEOKKI HONG; NOSEONG PARK; YOUNGSOK KIM; JINHO LEE; code
104 Anti-Backdoor Learning: Training Clean Models on Poisoned Data YIGE LI; XIXIANG LYU; NODENS KOREN; LINGJUAN LYU; BO LI; XINGJUN MA; code
105 Robust Compressed Sensing MRI with Deep Generative Priors AJIL JALAL; MARIUS ARVINTE; GIANNIS DARAS; ERIC PRICE; ALEXANDROS G. DIMAKIS; JONATHAN TAMIR; code
106 Automorphic Equivalence-aware Graph Neural Network FENGLI XU; QUANMING YAO; PAN HUI; YONG LI; code
107 ResT: An Efficient Transformer for Visual Recognition QINGLONG ZHANG; YU-BIN YANG; code
108 Unsupervised Learning of Energy Compositions YILUN DU; SHUANG LI; YASH SHARMA; JOSH TENENBAUM; IGOR MORDATCH; code
109 Transformer in Transformer KAI HAN; AN XIAO; ENHUA WU; JIANYUAN GUO; CHUNJING XU; YUNHE WANG; code
110 Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework TENGTENG HUANG; YIFAN SUN; XUN WANG; HAOTIAN YAO; CHI ZHANG; code
111 DualNet: Continual Learning, Fast and Slow QUANG PHAM; CHENGHAO LIU; STEVEN HOI; code
112 Deformable Butterfly: A Highly Structured and Sparse Linear Transform RUI LIN; JIE RAN; KING HUNG CHIU; GRAZIANO CHESI; NGAI WONG; code
113 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training CHEN ZHU; RENKUN NI; ZHENG XU; KEZHI KONG; W. RONNY HUANG; TOM GOLDSTEIN; code
114 Multimodal Virtual Point 3D Detection TIANWEI YIN; XINGYI ZHOU; PHILIPP KR�HENB�HL; code
115 DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras ZACHARY TEED; JIA DENG; code
116 HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning SHIMING CHEN; GUOSEN XIE; YANG LIU; QINMU PENG; BAIGUI SUN; HAO LI; XINGE YOU; LING SHAO; code
117 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space JIEHONG LIN; HONGYANG LI; KE CHEN; JIANGBO LU; KUI JIA; code
118 Recovering Latent Causal Factor for Generalization to Distributional Shifts XINWEI SUN; BOTONG WU; XIANGYU ZHENG; CHANG LIU; WEI CHEN; TAO QIN; TIE-YAN LIU; code
119 Mining the Benefits of Two-stage and One-stage HOI Detection AIXI ZHANG; YUE LIAO; SI LIU; MIAO LU; YONGLIANG WANG; CHEN GAO; XIAOBO LI; code
120 Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks RONG ZHU; MATTIA RIGOTTI; code
121 Relative Uncertainty Learning for Facial Expression Recognition YUHANG ZHANG; CHENGRUI WANG; WEIHONG DENG; code
122 Improving Transferability of Representations via Augmentation-Aware Self-Supervision HANKOOK LEE; KIBOK LEE; KIMIN LEE; HONGLAK LEE; JINWOO SHIN; code
123 Long-Short Transformer: Efficient Transformers for Language and Vision CHEN ZHU; WEI PING; CHAOWEI XIAO; MOHAMMAD SHOEYBI; TOM GOLDSTEIN; ANIMA ANANDKUMAR; BRYAN CATANZARO; code
124 Self-Supervised Learning Disentangled Group Representation as Feature TAN WANG; ZHONGQI YUE; JIANQIANG HUANG; QIANRU SUN; HANWANG ZHANG; code
125 Fast Certified Robust Training with Short Warmup ZHOUXING SHI; YIHAN WANG; HUAN ZHANG; JINFENG YI; CHO-JUI HSIEH; code
126 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence XUE YANG; XIAOJIANG YANG; JIRUI YANG; QI MING; WENTAO WANG; QI TIAN; JUNCHI YAN; code
127 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling BOWEN ZHANG; YIDONG WANG; WENXIN HOU; HAO WU; JINDONG WANG; MANABU OKUMURA; TAKAHIRO SHINOZAKI; code
128 Towards Multi-Grained Explainability for Graph Neural Networks XIANG WANG; YINGXIN WU; AN ZHANG; XIANGNAN HE; TAT-SENG CHUA; code
129 Heavy Ball Neural Ordinary Differential Equations HEDI XIA; VAI SULIAFU; HANGJIE JI; TAN NGUYEN; ANDREA BERTOZZI; STANLEY OSHER; BAO WANG; code
130 Revisiting Deep Learning Models for Tabular Data YURY GORISHNIY; IVAN RUBACHEV; VALENTIN KHRULKOV; ARTEM BABENKO; code
131 Container: Context Aggregation Networks PENG GAO; JIASEN LU; HONGSHENG LI; ROOZBEH MOTTAGHI; ANIRUDDHA KEMBHAVI; code
132 Only Train Once: A One-Shot Neural Network Training And Pruning Framework TIANYI CHEN; BO JI; TIANYU DING; BIYI FANG; GUANYI WANG; ZHIHUI ZHU; LUMING LIANG; YIXIN SHI; SHENG YI; XIAO TU; code
133 Chasing Sparsity in Vision Transformers: An End-to-End Exploration TIANLONG CHEN; YU CHENG; ZHE GAN; LU YUAN; LEI ZHANG; ZHANGYANG WANG; code
134 A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis XINGANG PAN; XUDONG XU; CHEN CHANGE LOY; CHRISTIAN THEOBALT; BO DAI; code
135 Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints MAURA PINTOR; FABIO ROLI; WIELAND BRENDEL; BATTISTA BIGGIO; code
136 Differentiable Spline Approximations MINSU CHO; ADITYA BALU; AMEYA JOSHI; ANJANA DEVA PRASAD; BISWAJIT KHARA; SOUMIK SARKAR; BASKAR GANAPATHYSUBRAMANIAN; ADARSH KRISHNAMURTHY; CHINMAY HEGDE; code
137 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration SIMONE PARISI; VICTORIA DEAN; DEEPAK PATHAK; ABHINAV GUPTA; code
138 Generative Occupancy Fields for 3D Surface-Aware Image Synthesis XUDONG XU; XINGANG PAN; DAHUA LIN; BO DAI; code
139 DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks WEI SUN; AOJUN ZHOU; SANDER STUIJK; ROB WIJNHOVEN; ANDREW OAKLEIGH NELSON; HONGSHENG LI; HENK CORPORAAL; code
140 MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge GENG YUAN; XIAOLONG MA; WEI NIU; ZHENGANG LI; ZHENGLUN KONG; NING LIU; YIFAN GONG; ZHENG ZHAN; CHAOYANG HE; QING JIN; SIYUE WANG; MINGHAI QIN; BIN REN; YANZHI WANG; SIJIA LIU; XUE LIN; code
141 Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods DEREK LIM; FELIX HOHNE; XIUYU LI; SIJIA LINDA HUANG; VAISHNAVI GUPTA; OMKAR BHALERAO; SER NAM LIM; code
142 [Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective TIANLONG CHEN; YU CHENG; ZHE GAN; JINGJING LIU; ZHANGYANG WANG; code
143 Accelerating Quadratic Optimization with Reinforcement Learning JEFFREY ICHNOWSKI; PARAS JAIN; BARTOLOMEO STELLATO; GORAN BANJAC; MICHAEL LUO; FRANCESCO BORRELLI; JOSEPH E. GONZALEZ; ION STOICA; KEN GOLDBERG; code
144 Deep Residual Learning in Spiking Neural Networks WEI FANG; ZHAOFEI YU; YANQI CHEN; TIEJUN HUANG; TIMOTH�E MASQUELIER; YONGHONG TIAN; code
145 Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks ITAY HUBARA; BRIAN CHMIEL; MOSHE ISLAND; RON BANNER; JOSEPH NAOR; DANIEL SOUDRY; code
146 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning HANG XU; KELLY KOSTOPOULOU; ARITRA DUTTA; XIN LI; ALEXANDROS NTOULAS; PANOS KALNIS; code
147 Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning WONYONG JEONG; HAYEON LEE; GEON PARK; EUNYOUNG HYUNG; JINHEON BAEK; SUNG JU HWANG; code
148 Multi-Objective Meta Learning FEIYANG YE; BAIJIONG LIN; ZHIXIONG YUE; PENGXIN GUO; QIAO XIAO; YU ZHANG; code
149 Learning to Predict Trustworthiness with Steep Slope Loss YAN LUO; YONGKANG WONG; MOHAN S. KANKANHALLI; QI ZHAO; code
150 NeRV: Neural Representations for Videos HAO CHEN; BO HE; HANYU WANG; YIXUAN REN; SER NAM LIM; ABHINAV SHRIVASTAVA; code
151 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data LIMING JIANG; BO DAI; WAYNE WU; CHEN CHANGE LOY; code
152 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning HANZHE HU; FANGYUN WEI; HAN HU; QIWEI YE; JINSHI CUI; LIWEI WANG; code
153 SWAD: Domain Generalization by Seeking Flat Minima JUNBUM CHA; SANGHYUK CHUN; KYUNGJAE LEE; HAN-CHEOL CHO; SEUNGHYUN PARK; YUNSUNG LEE; SUNGRAE PARK; code
154 Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting HAIXU WU; JIEHUI XU; JIANMIN WANG; MINGSHENG LONG; code
155 Predicting Event Memorability from Contextual Visual Semantics QIANLI XU; FEN FANG; ANA MOLINO; VIGNESHWARAN SUBBARAJU; JOO-HWEE LIM; code
156 Geometry Processing with Neural Fields GUANDAO YANG; SERGE BELONGIE; BHARATH HARIHARAN; VLADLEN KOLTUN; code
157 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning YUJIN TANG; DAVID HA; code
158 Aligning Pretraining for Detection via Object-Level Contrastive Learning FANGYUN WEI; YUE GAO; ZHIRONG WU; HAN HU; STEPHEN LIN; code
159 PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair ZIMIN CHEN; VINCENT HELLENDOORN; PASCAL LAMBLIN; PETROS MANIATIS; PIERRE-ANTOINE MANZAGOL; DANIEL TARLOW; SUBHODEEP MOITRA; code
160 Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing AADARSH SAHOO; RUTAV SHAH; RAMESWAR PANDA; KATE SAENKO; ABIR DAS; code
161 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training MINGUK KANG; WOOHYEON SHIM; MINSU CHO; JAESIK PARK; code
162 Robust and Decomposable Average Precision for Image Retrieval ELIAS RAMZI; NICOLAS THOME; CL�MENT RAMBOUR; NICOLAS AUDEBERT; XAVIER BITOT; code
163 Learning State Representations from Random Deep Action-conditional Predictions ZEYU ZHENG; VIVEK VEERIAH; RISTO VUORIO; RICHARD L. LEWIS; SATINDER SINGH; code
164 Tracking People with 3D Representations JATHUSHAN RAJASEGARAN; GEORGIOS PAVLAKOS; ANGJOO KANAZAWA; JITENDRA MALIK; code
165 Efficient Training of Visual Transformers with Small Datasets YAHUI LIU; ENVER SANGINETO; WEI BI; NICU SEBE; BRUNO LEPRI; MARCO NADAI; code
166 Partial success in closing the gap between human and machine vision ROBERT GEIRHOS; KANTHARAJU NARAYANAPPA; BENJAMIN MITZKUS; TIZIAN THIERINGER; MATTHIAS BETHGE; FELIX A. WICHMANN; WIELAND BRENDEL; code
167 LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes ADITYA KUSUPATI; MATTHEW WALLINGFORD; VIVEK RAMANUJAN; RAGHAV SOMANI; JAE SUNG PARK; KRISHNA PILLUTLA; PRATEEK JAIN; SHAM KAKADE; ALI FARHADI; code
168 Discovering and Achieving Goals via World Models RUSSELL MENDONCA; OLEH RYBKIN; KOSTAS DANIILIDIS; DANIJAR HAFNER; DEEPAK PATHAK; code
169 Understanding and Improving Early Stopping for Learning with Noisy Labels YINGBIN BAI; ERKUN YANG; BO HAN; YANHUA YANG; JIATONG LI; YINIAN MAO; GANG NIU; TONGLIANG LIU; code
170 CHIP: CHannel Independence-based Pruning for Compact Neural Networks YANG SUI; MIAO YIN; YI XIE; HUY PHAN; SAMAN ALIARI ZONOUZ; BO YUAN; code
171 Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation QIMING HU; XIAOJIE GUO; code
172 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? PETAR STOJANOV; ZIJIAN LI; MINGMING GONG; RUICHU CAI; JAIME CARBONELL; KUN ZHANG; code
173 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation YUSUKE TASHIRO; JIAMING SONG; YANG SONG; STEFANO ERMON; code
174 IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers BOWEN PAN; RAMESWAR PANDA; YIFAN JIANG; ZHANGYANG WANG; ROGERIO FERIS; AUDE OLIVA; code
175 Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks GIORA SIMCHONI; SAHARON ROSSET; code
176 Learning to Synthesize Programs as Interpretable and Generalizable Policies DWEEP KUMARBHAI TRIVEDI; JESSE ZHANG; SHAO-HUA SUN; JOSEPH J. LIM; code
177 Second-Order Neural ODE Optimizer GUAN-HORNG LIU; TIANRONG CHEN; EVANGELOS THEODOROU; code
178 Mastering Atari Games with Limited Data WEIRUI YE; SHAOHUAI LIU; THANARD KURUTACH; PIETER ABBEEL; YANG GAO; code
179 Learning Frequency Domain Approximation for Binary Neural Networks YIXING XU; KAI HAN; CHANG XU; YEHUI TANG; CHUNJING XU; YUNHE WANG; code
180 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization ZIMING ZHANG; YUN YUE; GUOJUN WU; YANHUA LI; HAICHONG ZHANG; code
181 Re-ranking for image retrieval and transductive few-shot classification XI SHEN; YANG XIAO; SHELL HU; OTHMAN SBAI; MATHIEU AUBRY; code
182 OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization KUNIAKI SAITO; DONGHYUN KIM; KATE SAENKO; code
183 Mori� Attack (MA): A New Potential Risk of Screen Photos DANTONG NIU; RUOHAO GUO; YISEN WANG; code
184 Robust Deep Reinforcement Learning through Adversarial Loss TUOMAS OIKARINEN; WANG ZHANG; ALEXANDRE MEGRETSKI; LUCA DANIEL; TSUI-WEI WENG; code
185 You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection YUXIN FANG; BENCHENG LIAO; XINGGANG WANG; JIEMIN FANG; JIYANG QI; RUI WU; JIANWEI NIU; WENYU LIU; code
186 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization PRANAV SUBRAMANI; NICHOLAS VADIVELU; GAUTAM KAMATH; code
187 The Elastic Lottery Ticket Hypothesis XIAOHAN CHEN; YU CHENG; SHUOHANG WANG; ZHE GAN; JINGJING LIU; ZHANGYANG WANG; code
188 Are Transformers more robust than CNNs? YUTONG BAI; JIERU MEI; ALAN L. YUILLE; CIHANG XIE; code
189 Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media YIYUE QIAN; YIMING ZHANG; YANFANG YE; CHUXU ZHANG; code
190 Scaling Up Exact Neural Network Compression by ReLU Stability THIAGO SERRA; XIN YU; ABHINAV KUMAR; SRIKUMAR RAMALINGAM; code
191 Instance-Dependent Partial Label Learning NING XU; CONGYU QIAO; XIN GENG; MIN-LING ZHANG; code
192 Localization with Sampling-Argmax JIEFENG LI; TONG CHEN; RUIQI SHI; YUJING LOU; YONG-LU LI; CEWU LU; code
193 BARTScore: Evaluating Generated Text as Text Generation WEIZHE YUAN; GRAHAM NEUBIG; PENGFEI LIU; code
194 Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond PAN ZHOU; HANSHU YAN; XIAOTONG YUAN; JIASHI FENG; SHUICHENG YAN; code
195 Dynamic Resolution Network MINGJIAN ZHU; KAI HAN; ENHUA WU; QIULIN ZHANG; YING NIE; ZHENZHONG LAN; YUNHE WANG; code
196 Instance-Conditioned GAN ARANTXA CASANOVA; MARLENE CAREIL; JAKOB VERBEEK; MICHAL DROZDZAL; ADRIANA ROMERO; code
197 A Unified View of cGANs with and without Classifiers SI-AN CHEN; CHUN-LIANG LI; HSUAN-TIEN LIN; code
198 Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration YU WANG; JINGYANG LIN; JINGJING ZOU; YINGWEI PAN; TING YAO; TAO MEI; code
199 Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game ALEXANDER REISACH; CHRISTOF SEILER; SEBASTIAN WEICHWALD; code
200 Robustness between the worst and average case LESLIE RICE; ANNA BAIR; HUAN ZHANG; J. ZICO KOLTER; code
201 Garment4D: Garment Reconstruction from Point Cloud Sequences FANGZHOU HONG; LIANG PAN; ZHONGANG CAI; ZIWEI LIU; code
202 Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs JINWOO KIM; SAEYOON OH; SEUNGHOON HONG; code
203 Encoding Robustness to Image Style via Adversarial Feature Perturbations MANLI SHU; ZUXUAN WU; MICAH GOLDBLUM; TOM GOLDSTEIN; code
204 Post-Training Quantization for Vision Transformer ZHENHUA LIU; YUNHE WANG; KAI HAN; WEI ZHANG; SIWEI MA; WEN GAO; code
205 Unsupervised Part Discovery with Contrastive Reconstruction SUBHABRATA CHOUDHURY; IRO LAINA; CHRISTIAN RUPPRECHT; ANDREA VEDALDI; code
206 Momentum Centering and Asynchronous Update for Adaptive Gradient Methods JUNTANG ZHUANG; YIFAN DING; TOMMY TANG; NICHA DVORNEK; SEKHAR C. TATIKONDA; JAMES DUNCAN; code
207 Robustness via Uncertainty-aware Cycle Consistency UDDESHYA UPADHYAY; YANBEI CHEN; ZEYNEP AKATA; code
208 CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method GUHYUN KIM; DOO SEOK JEONG; code
209 Conditional Generation Using Polynomial Expansions GRIGORIOS CHRYSOS; MARKOS GEORGOPOULOS; YANNIS PANAGAKIS; code
210 Continual World: A Robotic Benchmark For Continual Reinforcement Learning MACIEJ WOLCZYK; MICHAL ZAJAC; RAZVAN PASCANU; LUKASZ KUCINSKI; PIOTR MILOS; code
211 ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias YUFEI XU; QIMING ZHANG; JING ZHANG; DACHENG TAO; code
212 MobILE: Model-Based Imitation Learning From Observation Alone RAHUL KIDAMBI; JONATHAN CHANG; WEN SUN; code
213 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling RUIQI GAO; JIANWEN XIE; XUE-XIN WEI; SONG-CHUN ZHU; YING NIAN WU; code
214 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph JUNHAN YANG; ZHENG LIU; SHITAO XIAO; CHAOZHUO LI; DEFU LIAN; SANJAY AGRAWAL; AMIT SINGH; GUANGZHONG SUN; XING XIE; code
215 Do Transformers Really Perform Badly for Graph Representation? CHENGXUAN YING; TIANLE CAI; SHENGJIE LUO; SHUXIN ZHENG; GUOLIN KE; DI HE; YANMING SHEN; TIE-YAN LIU; code
216 Stronger NAS with Weaker Predictors JUNRU WU; XIYANG DAI; DONGDONG CHEN; YINPENG CHEN; MENGCHEN LIU; YE YU; ZHANGYANG WANG; ZICHENG LIU; MEI CHEN; LU YUAN; code
217 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training SHENG LIU; XIAO LI; YUEXIANG ZHAI; CHONG YOU; ZHIHUI ZHU; CARLOS FERNANDEZ-GRANDA; QING QU; code
218 TAAC: Temporally Abstract Actor-Critic for Continuous Control HAONAN YU; WEI XU; HAICHAO ZHANG; code
219 Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion TONG WU; LIANG PAN; JUNZHE ZHANG; TAI WANG; ZIWEI LIU; DAHUA LIN; code
220 Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation SHIQI YANG; YAXING WANG; JOOST VAN DE WEIJER; LUIS HERRANZ; SHANGLING JUI; code
221 Learning Distilled Collaboration Graph for Multi-Agent Perception YIMING LI; SHUNLI REN; PENGXIANG WU; SIHENG CHEN; CHEN FENG; WENJUN ZHANG; code
222 A Geometric Analysis of Neural Collapse with Unconstrained Features ZHIHUI ZHU; TIANYU DING; JINXIN ZHOU; XIAO LI; CHONG YOU; JEREMIAS SULAM; QING QU; code
223 Rectangular Flows for Manifold Learning ANTHONY L. CATERINI; GABRIEL LOAIZA-GANEM; GEOFF PLEISS; JOHN P. CUNNINGHAM; code
224 Continual Learning via Local Module Composition OLEKSIY OSTAPENKO; PAU RODRIGUEZ; MASSIMO CACCIA; LAURENT CHARLIN; code
225 Scalable Rule-Based Representation Learning for Interpretable Classification ZHUO WANG; WEI ZHANG; NING LIU; JIANYONG WANG; code