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Efficient Computing

6,876 papers

Papers per year

Papers

P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NIPS 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024
Even Sparser Graph Transformers NIPS 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NIPS 2024
Efficient Large Multi-modal Models via Visual Context Compression NIPS 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress NIPS 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention NIPS 2024
TableRAG: Million-Token Table Understanding with Language Models NIPS 2024
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NIPS 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback NIPS 2024
Accelerating Relative Entropy Coding with Space Partitioning NIPS 2024
Expanding Sparse Tuning for Low Memory Usage NIPS 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NIPS 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging NIPS 2024
Tetrahedron Splatting for 3D Generation NIPS 2024
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis NIPS 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NIPS 2024
Croissant: A Metadata Format for ML-Ready Datasets NIPS 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NIPS 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Understanding and Minimising Outlier Features in Transformer Training NIPS 2024
Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024
Toward Efficient Inference for Mixture of Experts NIPS 2024