snu-mllab

Achievement-Distillation

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

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)

Deep-Hash-Table-CVPR19

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

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-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.

parsimonious-blackbox-attack

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

PuzzleMix

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

snu-mllab/PuzzleMix

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

snu-mllab/Co-Mixup

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

snu-mllab/Efficient-Dataset-Condensation

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

snu-mllab/EDAC

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

snu-mllab/Context-Memory

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

snu-mllab/EMI

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

snu-mllab/parsimonious-blackbox-attack

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

snu-mllab/DPPO

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

snu-mllab/Achievement-Distillation

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

snu-mllab/Deep-Hash-Table-CVPR19

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

snu-mllab/DiscreteBlockBayesAttack

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

snu-mllab/DisentanglementICML19

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

snu-mllab/LayerMerge

Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)

snu-mllab/Neural-Relation-Graph

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

snu-mllab/DCPG

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

snu-mllab/Efficient-CNN-Depth-Compression

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

snu-mllab/Bayesian-Red-Teaming

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

snu-mllab/Optimal-channel-selection-with-discrete-QCQP

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

snu-mllab/preemptive-robustification

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

snu-mllab/GreedyPolicyForMOCO

Official PyTorch implementation of "Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization" (ICML'24)

snu-mllab/slurm_launcher

A Python library for launching Slurm tasks

snu-mllab/snu-mllab.github.io