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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
NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
NIPS 2024
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
NIPS 2024
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
NIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NIPS 2024
A Modular Conditional Diffusion Framework for Image Reconstruction
NIPS 2024
Membership Inference Attacks against Large Vision-Language Models
NIPS 2024
Elucidating the Design Space of Dataset Condensation
NIPS 2024
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
NIPS 2024
SustainDC: Benchmarking for Sustainable Data Center Control
NIPS 2024
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search
NIPS 2024
An Information Theoretic Perspective on Conformal Prediction
NIPS 2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models
NIPS 2024
VMamba: Visual State Space Model
NIPS 2024
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
NIPS 2024
Robustly overfitting latents for flexible neural image compression
NIPS 2024
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
NIPS 2024
VFIMamba: Video Frame Interpolation with State Space Models
NIPS 2024
Fast Channel Simulation via Error-Correcting Codes
NIPS 2024
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
NIPS 2024
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
NIPS 2024
MassSpecGym: A benchmark for the discovery and identification of molecules
NIPS 2024
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
NIPS 2024
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
NIPS 2024
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
NIPS 2024
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
NIPS 2024
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