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Machine Learning
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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
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
NIPS 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
NIPS 2024
Derivative-enhanced Deep Operator Network
NIPS 2024
RelBench: A Benchmark for Deep Learning on Relational Databases
NIPS 2024
Efficient multi-prompt evaluation of LLMs
NIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NIPS 2024
SnapKV: LLM Knows What You are Looking for Before Generation
NIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
NIPS 2024
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
NIPS 2024
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
NIPS 2024
Grammar-Aligned Decoding
NIPS 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
NIPS 2024
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
NIPS 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NIPS 2024
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
NIPS 2024
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
NIPS 2024
Accelerating Transformers with Spectrum-Preserving Token Merging
NIPS 2024
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
NIPS 2024
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models
NIPS 2024
Adaptive Depth Networks with Skippable Sub-Paths
NIPS 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
NIPS 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
NIPS 2024
Accelerating Blockwise Parallel Language Models with Draft Refinement
NIPS 2024
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation
NIPS 2024
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
NIPS 2024
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