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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
Patient-Centric Multilingual Question Answering and Summary Generation for Head and Neck Cancer and Blood Donation
AACL 2025
AI for Data Ingestion into IPAC Archives
AACL 2025
Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management
IJCAI 2025
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence
NIPS 2024
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
NIPS 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
NIPS 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
NIPS 2024
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings
NIPS 2024
Faster Local Solvers for Graph Diffusion Equations
NIPS 2024
QBB: Quantization with Binary Bases for LLMs
NIPS 2024
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
NIPS 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NIPS 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
NIPS 2024
ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting
NIPS 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
NIPS 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
NIPS 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NIPS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs
NIPS 2024
Rethinking Imbalance in Image Super-Resolution for Efficient Inference
NIPS 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
NIPS 2024
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
NIPS 2024
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
NIPS 2024
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
NIPS 2024
Spiking Transformer with Experts Mixture
NIPS 2024
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
NIPS 2024
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