Theme

Neural Network
Benchmark
Word Embedding
Security
Explainable Artificial Intelligence (XAI)
Language Model
Computer Vision
Reinforcement Learning
Information Retrieval
Tabular Learning
Meta Learning
Continual Learning
Mixture of Experts
Model Compression
Knoweldge Distillation
Quantization

AI Paper

Theme	Number	Title	Journal/Conference	Date	Author	Link
Neural Network	1	Random Forests	Machine Learning, Volume 45	2001-01-01	Leo Breiman	Link
	2	Visualizing Data using t-SNE	ICLR 2015	2008-01-01	Laurens van der Maaten et al	Link
	3	Dropout: A Simple Way to Prevent Neural Networks from Overfitting	JMLR 2014	2014-01-01	Nitish Srivastava et al	Link
	4	Adam: A Method for Stochastic Optimization	ACL 2015	2014-12-22	Diederik P. Kingma et al	Link
	5	Convolutional Neural Networks for Sentence Classification	EMNLP  2014	2014-08-25	Yoon Kim et al	Link
	6	Efficient Per-Example Gradient Computations	ICML 2016	2015-10-07	Ian Goodfellow et al	Link
	7	XGBoost: A Scalable Tree Boosting System	ACM CCS 2016	2016-03-09	Tianqi Chen et al	Link
	8	Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation		2016-07-01	Dong Yu et al	Link
	9	SGDR: Stochastic Gradient Descent with Warm Restarts	IEEE 2017	2016-08-13	Ilya Loshchilov et al	Link
	10	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	NeurIPS 2017	2017-06-08	Priya Goyal et al	Link
	11	Don't Decay the Learning Rate, Increase the Batch Size	ICLR  2018	2017-11-01	Samuel L. Smith et al	Link
	12	Population Based Training of Neural Networks	ACL 2018	2017-11-27	Samuel L. Smith et al	Link
	13	A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay	PBML	2018-03-26	Leslie N. Smith et al	Link
	14	Dying ReLU and Initialization: Theory and Numerical Examples		2019-03-15	Lu Lu et al	Link
	15	Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks	PMLR 2021	2020-10-29	Julieta Martinez et al	Link
	16	Ensemble deep learning: A review		2021-04-06	M. A. Ganaie et al	Link
	17	R-Drop: Regularized Dropout for Neural Networks	ICML 2016	2021-06-28	Xiaobo Liang et al	Link
Benchmark	18	BLEU: a method for automatic evaluation of machine translation	ACL 2002	2002-07-01	Kishore Papineni et al	Link
	19	METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments	ACL 2005	2005-01-01	Satanjeev Banerjee et al	Link
	20	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding		2018-04-20	Alex Wang et al	Link
	21	A Call for Clarity in Reporting BLEU Scores	ACL 2018	2018-04-23	Matt Post et al	Link
	22	BERTScore: Evaluating Text Generation with BERT	ACL 2020	2019-04-21	Tianyi Zhang et al	Link
	23	BLEURT: Learning Robust Metrics for Text Generation	ACL  2020	2020-04-09	Thibault Sellam et al	Link
	24	KLUE: Korean Language Understanding Evaluation		2021-05-20	Sungjoon Park et al	Link
	25	ROUGE: A Package for Automatic Evaluation of Summaries	Artificial Intelligence Volume 299	2021-10-01	Chin-Yew Lin et al	Link
Word Embedding	26	Efficient Estimation of Word Representations in Vector Space		2013-01-16	Tomas Mikolov et al	Link
	27	Linguistic Regularities in Continuous Space Word Representations		2013-06-01	Tomas Mikolov et al	Link
	28	Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer		2018-03-17	Sudha Rao et al	Link
	29	SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing	ACL 2019	2018-08-19	Taku Kudo et al	Link
	30	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	AAAI 2020	2019-08-27	Nils Reimers et al	Link
	31	SimCSE: Simple Contrastive Learning of Sentence Embeddings	EMNLP  2021	2021-04-18	Tianyu Gao et al	Link
	32	Self-Guided Contrastive Learning for BERT Sentence Representations	ACL  2021	2021-06-03	Taeuk Kim et al	Link
	33	Contrastive Learning of Sentence Embeddings from Scratch		2023-05-24	Junlei Zhang et al	Link
Explainable Artificial Intelligence (XAI)	34	Building Machines That Learn and Think Like People	NeurIPS 2016	2016-04-01	Brenden M. Lake et al	Link
	35	A Multiscale Visualization of Attention in the Transformer Model	ACL  2019	2019-06-12	Jesse Vig et al	Link
	36	On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines	IEEE Open Journal of the Computer Society	2020-06-08	Marius Mosbach et al	Link
	37	Reliable Post hoc Explanations: Modeling Uncertainty in Explainability		2020-08-11	Dylan Slack et al	Link
	38	Reward is enough	ICLR 2022	2021-10-01	David Silver et al	Link
Language Model	39	Large-Scale Distributed Language Modeling	IEEE 2007	2007-04-05	Ahmad Emami et al	Link
	40	Large Language Models in Machine Translation	Teaching and Learning in Higher Education	2007-06-01	Gloria Brown Wright et al	Link
	41	Neural Machine Translation by Jointly Learning to Align and Translate	NeurIPS 2014	2014-09-01	Dzmitry Bahdanau et al	Link
	42	Sequence to Sequence Learning with Neural Networks	ICML 2015	2014-09-10	Ilya Sutskever et al	Link
	43	Neural Machine Translation of Rare Words with Subword Units	ICLR 2016	2015-08-31	Rico Sennrich et al	Link
	44	Continuous control with deep reinforcement learning		2015-09-09	Timothy P. Lillicrap et al	Link
	45	Unsupervised Deep Embedding for Clustering Analysis		2015-11-19	Junyuan Xie et al	Link
	46	Hierarchical Attention Networks for Document Classification	KDD 2016	2016-01-01	Zichao Yang et al	Link
	47	Hierarchical Attention Networks for Document Classification		2016-01-01	Zichao Yang et al	Link
	48	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation		2016-09-26	Yonghui Wu et al	Link
	49	Understanding deep learning requires rethinking generalization	ICLR  2017	2016-11-10	Chiyuan Zhang et al	Link
	50	SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents	AAAI  2017	2016-11-14	Ramesh Nallapati et al	Link
	51	Reading Wikipedia to Answer Open-Domain Questions	ACL 2017	2017-03-31	Danqi Chen et al	Link
	52	Get To The Point: Summarization with Pointer-Generator Networks		2017-04-14	Abigail See et al	Link
	53	Learning to Ask: Neural Question Generation for Reading Comprehension	ACL  2017	2017-04-29	Xinya Du et al	Link
	54	Style Transfer from Non-Parallel Text by Cross-Alignment		2017-05-26	Tianxiao Shen et al	Link
	55	Attention Is All You Need		2017-06-12	Ashish Vaswani et al	Link
	56	Adversarial Examples for Evaluating Reading Comprehension Systems		2017-07-23	Robin Jia et al	Link
	57	Self-Attention with Relative Position Representations too?	NAACL 2018	2018-01-01	Peter Shaw et al	Link
	58	Personalizing Dialogue Agents: I have a dog, do you have pets too?	WMT 2018	2018-01-22	Saizheng Zhang et al	Link
	59	Deep contextualized word representations		2018-02-15	Matthew E. Peters et al	Link
	60	Training Tips for the Transformer Model		2018-04-01	Martin Popel et al	Link
	61	Hierarchical Neural Story Generation		2018-05-13	Angela Fan et al	Link
	62	Know What You Don't Know: Unanswerable Questions for SQuAD	ACL  2018	2018-06-11	Pranav Rajpurkar et al	Link
	63	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding		2018-10-11	Jacob Devlin et al	Link
	64	A Recurrent BERT-based Model for Question Generation	ACL 2019	2019-01-01	Ying-Hong Chan et al	Link
	65	EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks		2019-01-31	Jason Wei et al	Link
	66	Good-Enough Compositional Data Augmentation		2019-04-21	Jacob Andreas et al	Link
	67	Language Models are Unsupervised Multitask Learners		2019-06-01	Alec Radford et al	Link
	68	SpanBERT: Improving Pre-training by Representing and Predicting Spans		2019-07-24	Mandar Joshi et al	Link
	69	TabNet: Attentive Interpretable Tabular Learning	EMNLP 2019	2019-08-20	Sercan O. Arik et al	Link
	70	Text Summarization with Pretrained Encoders		2019-08-22	Yang Liu et al	Link
	71	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks		2019-08-27	Nils Reimers et al	Link
	72	Alpaca: Intermittent Execution without Checkpoints	NeurIPS 2019	2019-09-13	Kiwan Maeng et al	Link
	73	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	ACL  2020	2019-10-23	Colin Raffel et al	Link
	74	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension		2019-10-29	Mike Lewis et al	Link
	75	Fast Transformer Decoding: One Write-Head is All You Need		2019-11-06	Noam Shazeer et al	Link
	76	Improving Transformer Optimization Through Better Initialization	NeurIPS 2020	2020-01-01	Xiao Shi Huang et al	Link
	77	Data Augmentation using Pre-trained Transformer Models	AACL  2020	2020-03-04	Varun Kumar et al	Link
	78	Dense Passage Retrieval for Open-Domain Question Answering	EMNLP  2020	2020-04-10	Vladimir Karpukhin et al	Link
	79	Understanding the Difficulty of Training Transformers		2020-04-17	Liyuan Liu et al	Link
	80	RoFormer: Enhanced Transformer with Rotary Position Embedding		2021-04-20	Jianlin Su et al	Link
	81	Finetuned Language Models Are Zero-Shot Learners	IEEE/RJS International Conference on Intelligent RObots and Systems	2021-09-03	Jason Wei et al	Link
	82	Post-Training with Interrogative Sentences for Enhancing BART-based Korean Question Generator	ACL 2022	2022-01-01	Gyu-Min Park et al	Link
	83	FNet: Mixing Tokens with Fourier Transforms	NAACL  2022	2022-01-01	James Lee-Thorp et al	Link
	84	BERTopic: Neural topic modeling with a class-based TF-IDF procedure		2022-03-11	Maarten Grootendorst et al	Link
	85	Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks	EMNLP 2022	2022-04-16	Yizhong Wang et al	Link
	86	MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification	ACL  2020	2022-04-25	Jiaao Chen et al	Link
	87	Learning to Transfer Prompts for Text Generation	NAACL  2022	2022-05-03	Junyi Li et al	Link
	88	On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation	EMNLP 2022	2022-05-08	Yongjie Wang et al	Link
	89	KOLD: Korean Offensive Language Dataset		2022-05-23	Younghoon Jeong et al	Link
	90	CoNT: Contrastive Neural Text Generation		2022-05-29	Chenxin An et al	Link
	91	GODEL: Large-Scale Pre-Training for Goal-Directed Dialog		2022-06-22	Baolin Peng et al	Link
	92	Generative Language Models for Paragraph-Level Question Generation	EMNLP  2022	2022-10-08	Asahi Ushio et al	Link
	93	NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers	CVPR 2023	2022-11-29	Yijiang Liu et al	Link
	94	Self-Instruct: Aligning Language Models with Self-Generated Instructions	ACL  2023	2022-12-20	Yizhong Wang et al	Link
	95	Dialog-Post Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training	ACL 2023	2023-01-01	Zhenyu Zhang et al	Link
	96	LLaMA: Open and Efficient Foundation Language Models		2023-02-27	Hugo Touvron et al	Link
	97	Instruction Tuning with GPT-4	EMNLP 2023	2023-04-06	Baolin Peng et al	Link
	98	Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting		2023-05-07	Miles Turpin et al	Link
	99	An Empirical Comparison of LM-based Question and Answer Generation Methods	ACL  2023	2023-05-26	Asahi Ushio et al	Link
	100	A Practical Toolkit for Multilingual Question and Answer Generation		2023-05-27	Asahi Ushio et al	Link
	101	Mistral 7B		2023-10-10	Albert Q. Jiang et al	Link
	102	Gemma: Open Models Based on Gemini Research and Technology		2024-03-13	Gemma Team et al	Link
Meta Learning	103	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	ICML  2017	2017-03-09	Chelsea Finn et al	Link
	104	Optimization as A Model for Few-shot Learning	ICLR 2017	2017-07-22	Sachin Ravi et al	Link
	105	BERT Learns to Teach: Knowledge Distillation with Meta Learning		2021-06-08	Wangchunshu Zhou et al	Link
Continual Learning	106	Overcoming catastrophic forgetting in neural networks		2016-12-02	James Kirkpatrick et al	Link
Mixture of Experts	107	Adaptive Mixtures of Local Experts	MIT Press 1991	1991-03-01	Robert A. Jacobs et al	Link
Model Compression	108	Model Compression	ACM SIGKDD 2006	2006-08-20	Cristian Bucil˘a et al	Link
	109	Adaptive Computation Time for Recurrent Neural Networks	Behavioral and Brain Sciences	2016-03-29	Alex Graves et al	Link
	110	BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks		2017-09-06	Surat Teerapittayanon et al	Link
	111	FastBERT: a Self-distilling BERT with Adaptive Inference Time	PMLR 2020	2020-04-05	Weijie Liu et al	Link
	112	A Survey on Model Compression and Acceleration for Pretrained Language Models	ICLR 2022	2022-02-15	Canwen Xu et al	Link
Knoweldge Distillation	113	Distilling the Knowledge in a Neural Network	NIPS  2014	2015-03-09	Geoffrey Hinton et al	Link
	114	Improved Knowledge Distillation via Teacher Assistant	ACSAC 2019	2019-02-09	Seyed-Iman Mirzadeh et al	Link
	115	Unified Language Model Pre-training for Natural Language Understanding and Generation		2019-05-08	Li Dong et al	Link
	116	Patient Knowledge Distillation for BERT Model Compression	EMNLP  2019	2019-08-25	Siqi Sun et al	Link
	117	DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	JMLR	2019-10-02	Victor Sanh et al	Link
	118	MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers		2020-02-25	Wenhui Wang et al	Link
	119	MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers	PMLR 2021	2020-12-31	Wenhui Wang et al	Link
	120	Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes	ACL  2023	2023-05-03	Cheng-Yu Hsieh et al	Link
Quantization	121	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	NeurIPS 2013	2013-08-15	Yoshua Bengio et al	Link
	122	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks		2016-03-16	Mohammad Rastegari et al	Link
	123	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	IEEE 2017	2016-06-20	Shuchang Zhou et al	Link
	124	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations		2016-09-22	Itay Hubara et al	Link
	125	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference		2017-12-15	Benoit Jacob et al	Link
	126	And the Bit Goes Down: Revisiting the Quantization of Neural Networks	TACL 2020	2019-07-12	Pierre Stock et al	Link
	127	Learned Step Size Quantization	ICLR 2020	2019-02-21	Steven K. Esser et al	Link
	128	Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT		2019-09-12	Sheng Shen et al	Link
	129	Quantization Networks		2019-11-21	Jiwei Yang et al	Link
	130	ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions		2020-03-07	Zechun Liu et al	Link
	131	Binary Neural Networks: A Survey		2020-03-31	Haotong Qin et al	Link
	132	Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation	ACSAC 2021	2020-04-20	Hao Wu et al	Link
	133	BinaryBERT: Pushing the Limit of BERT Quantization	ACL-IJCNLP 2021	2020-12-31	Haoli Bai et al	Link
	134	I-BERT: Integer-only BERT Quantization	USENIX 2021	2021-01-05	Sehoon Kim et al	Link
	135	A Survey of Quantization Methods for Efficient Neural Network Inference	AAAI 2022	2021-03-25	Amir Gholami et al	Link
	136	A White Paper on Neural Network Quantization	ICLR 2022	2021-06-15	Markus Nagel et al	Link
	137	BiBERT: Accurate Fully Binarized BERT		2022-03-12	Haotong Qin et al	Link
	138	BiT: Robustly Binarized Multi-distilled Transformer	IPS  2022	2022-05-25	Zechun Liu et al	Link
	139	QuIP: 2-Bit Quantization of Large Language Models With Guarantees		2023-07-25	Jerry Chee et al	Link
Reinforcement Learning	140	Playing Atari with Deep Reinforcement Learning	ICLR 2014	2013-12-19	Volodymyr Mnih et al	Link
	141	Proximal Policy Optimization Algorithms		2017-07-20	John Schulman et al	Link
	142	Rainbow: Combining Improvements in Deep Reinforcement Learning	AAAI  2018	2017-10-06	Matteo Hessel et al	Link
	143	Time Limits in Reinforcement Learning	CVPR 2018	2017-12-01	Fabio Pardo et al	Link
	144	Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research	NAACL 2018	2018-02-26	Matthias Plappert et al	Link
	145	CURL: Contrastive Unsupervised Representations for Reinforcement Learning		2020-04-08	Aravind Srinivas et al	Link
	146	Goal Density based Hindsight Experience Prioritization for Multi Goal Robot Manipulation Reinforcement Learning	ICLR 2021	2020-09-04	Yingyi Kuang et al	Link
	147	The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms		2021-09-23	Alexander Koenig et al	Link
	148	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks		2021-10-12	Rahim Entezari et al	Link
	149	SoMoGym: A Toolkit for Developing and Evaluating Controllers and Reinforcement Learning Algorithms for Soft Robots	IEEE Robotics and Automation Letters 2022	2022-01-01	Moritz A. Graule et al	Link
	150	Learning-Based Slip Detection for Robotic Fruit Grasping and Manipulation under Leaf Interference	NeurIPS 2022	2022-06-01	Hongyu Zhou et al	Link
	151	Augmenting Vision-Based Grasp Plans for Soft Robotic Grippers using Reinforcement Learning	NeurIPS 2022	2022-08-24	Vighnesh Vatsal et al	Link
	152	DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning	ICRA  2023	2023-01-25	I Made Aswin Nahrendra et al	Link
Information Retrieval	153	Document Expansion by Query Prediction		2019-04-17	Rodrigo Nogueira et al	Link
	154	Latent Retrieval for Weakly Supervised Open Domain Question Answering		2019-06-01	Kenton Lee et al	Link
	155	ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT	SIGIR  2020	2020-04-27	Omar Khattab et al	Link
	156	Differentially Private Learning Needs Better Features (or Much More Data)		2020-11-23	Florian Tramèr et al	Link
	157	Learning Dense Representations of Phrases at Scale	ACL  2021	2020-12-23	Jinhyuk Lee et al	Link
	158	BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models		2021-04-17	Nandan Thakur et al	Link
	159	Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval	ICLR 2022	2021-08-12	Luyu Gao et al	Link
	160	Multi-View Document Representation Learning for Open-Domain Dense Retrieval	ACL  2022	2022-03-16	Shunyu Zhang et al	Link
	161	Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval		2022-08-08	Zehan Li et al	Link
	162	CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion	EMNLP  2023	2022-12-18	Xingwei He et al	Link
Tabular Learning	163	Compositional Semantic Parsing on Semi-Structured Tables		2015-08-03	Panupong Pasupat et al	Link
	164	The E2E Dataset: New Challenges For End-to-End Generation		2017-06-28	Jekaterina Novikova et al	Link
	165	Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning		2017-08-31	Victor Zhong et al	Link
	166	TAPAS: Weakly Supervised Table Parsing via Pre-training	ACL  2020	2020-04-05	Jonathan Herzig et al	Link
	167	TabTransformer: Tabular Data Modeling Using Contextual Embeddings	USENIX 2021	2020-12-11	Xin Huang et al	Link
	168	FeTaQA: Free-form Table Question Answering		2020-04-01	Linyong Nan et al	Link
	169	DoT: An efficient Double Transformer for NLP tasks with tables	TACL 2022	2021-01-01	Syrine Krichene et al	Link
	170	TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance	NeurIPS 2021	2021-05-17	Fengbin Zhu et al	Link
	171	SpreadsheetCoder: Formula Prediction from Semi-structured Context	ICML  2021	2021-06-26	Xinyun Chen et al	Link
	172	Multi-Row, Multi-Span Distant Supervision For Table+Text Question		2021-12-14	Vishwajeet Kumar et al	Link
	173	OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering	NeurIPS 2022	2022-07-08	Zhengbao Jiang et al	Link
	174	Why do tree-based models still outperform deep learning on tabular data?		2022-07-18	Léo Grinsztajn et al	Link
	175	Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning	SIGIR  2023	2023-01-31	Yunhu Ye et al	Link
	176	DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction	IPS  2023	2023-04-21	Mohammadreza Pourreza et al	Link
	177	CABINET: Content Relevance based Noise Reduction for Table Question Answering	ICLR 2024	2024-01-01	Sohan Patnaik et al	Link
Security	178	Deep Learning with Differential Privacy		2016-07-01	Martín Abadi et al	Link
	179	Membership Inference Attacks against Machine Learning Models		2016-10-18	Reza Shokri et al	Link
	180	Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks	IEEE Symposium on Security and Privacy (SP) 2019	2019-01-01	Bolun Wang et al	Link
	181	STRIP: A Defence Against Trojan Attacks on Deep Neural Networks	ICLR 2020	2019-02-18	Yansong Gao et al	Link
	182	BadNets: Evaluating Backdooring Attacks on Deep Neural Networks	NeurIPS 2019	2019-04-11	Tianyu Gu et al	Link
	183	Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks	OpenAI	2019-05-24	Yuanshun Yao et al	Link
	184	Weight Poisoning Attacks on Pre-trained Models	ACL  2020	2020-04-14	Keita Kurita et al	Link
	185	BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements	ACSAC 2021	2020-06-01	Xiaoyi Chen et al	Link
	186	Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review	IEEE 2021	2020-07-21	Yansong Gao et al	Link
	187	Trojaning Language Models for Fun and Profit	NeurIPS 2021	2020-08-01	Xinyang Zhang et al	Link
	188	Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping	PETS 2021	2020-09-07	Jaewoo Lee et al	Link
	189	TextHide: Tackling Data Privacy in Language Understanding Tasks	EMNLP  2020	2020-10-02	Yangsibo Huang et al	Link
	190	Extracting Training Data from Large Language Models		2020-12-14	Nicholas Carlini et al	Link
	191	Hidden Backdoors in Human-Centric Language Models	CCS 2021	2021-01-01	Shaofeng Li et al	Link
	192	T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification		2021-03-07	Ahmadreza Azizi et al	Link
	193	Large Language Models Can Be Strong Differentially Private Learners		2021-10-12	Xuechen Li et al	Link
	194	Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation	USENIX Security 2022	2022-01-01	Xudong Pan et al	Link
Computer Vision	195	Auto-Encoding Variational Bayes		2013-12-20	Diederik P Kingma et al	Link
	196	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention		2015-02-10	Kelvin Xu et al	Link
	197	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets		2016-06-12	Xi Chen et al	Link
	198	The Perception-Distortion Tradeoff	CVPR  2018	2017-11-16	Yochai Blau et al	Link
	199	Do CIFAR-10 Classifiers Generalize to CIFAR-10?		2018-06-01	Benjamin Recht et al	Link
	200	Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks	ICRA  2019	2018-10-24	Michelle A. Lee et al	Link
	201	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	CVPR 2021	2020-10-22	Alexey Dosovitskiy et al	Link
	202	Training data-efficient image transformers & distillation through attention	ACL 2021	2020-12-23	Hugo Touvron et al	Link

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