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Efficient Computing

596 directly classified papers

Papers per year

Papers

Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding ACL 2025

QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation ICCV 2025

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025

Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation WACV 2025

Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025

Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025

QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025

Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation ICCV 2025

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025

ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models ICCV 2025

High-Pass Kernel Prediction for Efficient Video Deblurring WACV 2025

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning EMNLP 2025

End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames CVPR 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric CVPR 2024

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024

Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024

Accelerating Multilingual Language Model for Excessively Tokenized Languages ACL 2024

LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024

BASS: Batched Attention-optimized Speculative Sampling ACL 2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing AAAI 2024

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward IJCAI 2024

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024