snu-mllab Goto Github PK

achievement-distillation

Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)

bayesian-red-teaming

About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)

co-mixup

Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)

context-memory

Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)

dcpg

Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)

deep-hash-table-cvpr19

" End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization" accepted at CVPR2019

discreteblockbayesattack

Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)

disentanglementicml19

"Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019

dppo

Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)

edac

Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

efficient-cnn-depth-compression

Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)

efficient-dataset-condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

emi

Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.

neural-relation-graph

Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)

optimal-channel-selection-with-discrete-qcqp

Official PyTorch implementation of "Optimal channel selection with discrete QCQP" (AISTATS'2022)

parsimonious-blackbox-attack

Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)

preemptive-robustification

Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

puzzlemix

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

slurm_launcher

A Python library for launching Slurm tasks

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