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Papers
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
AAAI 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
ACL 2024
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
ICLR 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
CVPR 2024
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
AAAI 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
NeurIPS 2024
On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL
NAACL 2024
Online Knowledge Distillation of Decoder-Only Large Language Models for Efficient Speech Recognition
Interspeech 2024
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
ICLR 2024
On Sampling Strategies for Spectral Model Sharding
NeurIPS 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
CVPR 2024
On the Impact of Calibration Data in Post-training Quantization and Pruning
ACL 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
On the social bias of speech self-supervised models
Interspeech 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization
COLING 2024
Optimal and Approximate Adaptive Stochastic Quantization
NeurIPS 2024
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
EMNLP 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NeurIPS 2024
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
AAAI 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
NeurIPS 2024
P2D: Plug and Play Discriminator for Accelerating GAN Frameworks
WACV 2024
Parameter Competition Balancing for Model Merging
NeurIPS 2024