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Papers
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
EMNLP 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Gradient-Guided Knowledge Distillation for Object Detectors
WACV 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization
NeurIPS 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation
WACV 2024
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
AAAI 2024
HashReID: Dynamic Network With Binary Codes for Efficient Person Re-Identification
WACV 2024
Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification
AAAI 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
NeurIPS 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
EMNLP 2024
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
CVPR 2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
NeurIPS 2024
How Does Quantization Affect Multilingual LLMs?
EMNLP 2024
How Far Can We Compress Instant-NGP-Based NeRF?
CVPR 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
NeurIPS 2024
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
AAAI 2024
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
IJCAI 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
NeurIPS 2024
Hybrid Distillation from RBMT and NMT: Helsinki-NLP’s Submission to the Shared Task on Translation into Low-Resource Languages of Spain
EMNLP 2024
HydraViT: Stacking Heads for a Scalable ViT
NeurIPS 2024
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
AAAI 2024
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
NeurIPS 2024
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
NAACL 2024
Improved Techniques for Quantizing Deep Networks With Adaptive Bit-Widths
WACV 2024
Improving LoRA in Privacy-preserving Federated Learning
ICLR 2024