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Efficient-Dataset-Condensation
Efficient-Dataset-Condensation PublicOfficial PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
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Context-Memory
Context-Memory PublicPytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
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- snu-mllab.github.io Public
snu-mllab/snu-mllab.github.io’s past year of commit activity - Targeted-Cause-Discovery Public
Official implementation for "Targeted Cause Discovery with Data-Driven Learning"
snu-mllab/Targeted-Cause-Discovery’s past year of commit activity - LayerMerge Public
Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)
snu-mllab/LayerMerge’s past year of commit activity - Achievement-Distillation Public
Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)
snu-mllab/Achievement-Distillation’s past year of commit activity - GreedyPolicyForMOCO Public
Official PyTorch implementation of "Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization" (ICML'24)
snu-mllab/GreedyPolicyForMOCO’s past year of commit activity - Efficient-CNN-Depth-Compression Public
Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
snu-mllab/Efficient-CNN-Depth-Compression’s past year of commit activity - Context-Memory Public
Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
snu-mllab/Context-Memory’s past year of commit activity - Neural-Relation-Graph Public
Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
snu-mllab/Neural-Relation-Graph’s past year of commit activity
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