(CVPR 2021 Oral) Open World Object Detection
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Updated
Dec 19, 2022 - Python
(CVPR 2021 Oral) Open World Object Detection
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Code for reproducing results in the sliced score matching paper (UAI 2019)
[NeurIPS 2021 Spotlight] Learning to Compose Visual Relations
[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
A PyTorch implementation of Implicit Behavioral Cloning
Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.
Extreme Q-Learning: Max Entropy RL without Entropy
(CVPR 2022) Energy-based Latent Aligner for Incremental Learning
PyTorch implementation of JEM++: Improved Techniques for Training JEM
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
Some toy examples of score matching algorithms written in PyTorch
[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models
Noise Contrastive Estimation (NCE) in PyTorch
Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018
Official code for the paper "Arbitrary Conditional Distributions with Energy".
Combining Energy-Based Modeling and RL to solve the challenging Abstract Reasoning Corpus[1] tasks.
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