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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
NIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
NIPS 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
NIPS 2024
Efficient Temporal Action Segmentation via Boundary-aware Query Voting
NIPS 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation
NIPS 2024
BiDM: Pushing the Limit of Quantization for Diffusion Models
NIPS 2024
Harnessing small projectors and multiple views for efficient vision pretraining
NIPS 2024
HydraViT: Stacking Heads for a Scalable ViT
NIPS 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
NIPS 2024
Verified Code Transpilation with LLMs
NIPS 2024
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
NIPS 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
NIPS 2024
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections
NIPS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
NIPS 2024
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
NIPS 2024
Slicing Vision Transformer for Flexible Inference
NIPS 2024
Revisiting the Integration of Convolution and Attention for Vision Backbone
NIPS 2024
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
NIPS 2024
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
NIPS 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NIPS 2024
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
NIPS 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
NIPS 2024
Pipeline Parallelism with Controllable Memory
NIPS 2024
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
NIPS 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
NIPS 2024
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