Efficient Computing
8,226 papers
Papers per year
3
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3
3
8
11
7
11
12
15
55
50
57
98
136
252
379
535
681
794
1,106
1,519
2,057
432
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Papers
NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration
CVPR 2026
NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharing
WACV 2026
Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography
AAAI 2026
Nighttime Flare Removal via Wavelet-Guided and Gated-Enhanced Spatial-Frequency Fusion Network
AAAI 2026
NODiff: Neural Operator Diffusion for Multispectral Image Fusion
AAAI 2026
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
AAAI 2026
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
CVPR 2026
On Coresets for End-to-end Learning from Crowds
AAAI 2026
Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios?
JMLR 2026
Optical Character Recognition for the International Phonetic Alphabet
EACL 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
AAAI 2026
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs
AAAI 2026
Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU Parallelism
CVPR 2026
Over-Searching in Search-Augmented Large Language Models
EACL 2026
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference
EACL 2026
ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models
AAAI 2026
Parallel Jacobi Decoding for Fast Autoregressive Image Generation
CVPR 2026
Parallel Training Time-to-First-Spike Spiking Neural Networks
AAAI 2026
Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition
EACL 2026
Parameter-Efficient Quality Estimation via Frozen Recursive Models
EACL 2026
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
AAAI 2026
Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation
AAAI 2026
PartialNet: Compute Less, Perform Better
AAAI 2026
PEFT-BoA: Parameter-Efficient Fine-Tuning with Bag-of-Adapters for Multi-Modal Object Re-identification
AAAI 2026