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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
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
NIPS 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
NIPS 2024
Q-VLM: Post-training Quantization for Large Vision-Language Models
NIPS 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
NIPS 2024
Amortized Fourier Neural Operators
NIPS 2024
LoQT: Low-Rank Adapters for Quantized Pretraining
NIPS 2024
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
NIPS 2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling
NIPS 2024
Adaptive Sampling for Efficient Softmax Approximation
NIPS 2024
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
NIPS 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 2024
Autoregressive Policy Optimization for Constrained Allocation Tasks
NIPS 2024
Fetch and Forge: Efficient Dataset Condensation for Object Detection
NIPS 2024
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
NIPS 2024
Learning from Offline Foundation Features with Tensor Augmentations
NIPS 2024
Convolutional Differentiable Logic Gate Networks
NIPS 2024
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
NIPS 2024
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
NIPS 2024
Gorilla: Large Language Model Connected with Massive APIs
NIPS 2024
General bounds on the quality of Bayesian coresets
NIPS 2024
4-bit Shampoo for Memory-Efficient Network Training
NIPS 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
NIPS 2024
Sequoia: Scalable and Robust Speculative Decoding
NIPS 2024
Geometry-aware training of factorized layers in tensor Tucker format
NIPS 2024
Fast yet Safe: Early-Exiting with Risk Control
NIPS 2024
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