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Efficient Computing
6876 directly classified 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
CALLIC: Content Adaptive Learning for Lossless Image Compression
AAAI 2025
Learnings from Deploying Network QoS Alignment to Application Priorities for Storage Services
NSDI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
ICCV 2025
Evaluating the Quality of Benchmark Datasets for Low-Resource Languages: A Case Study on Turkish
ACL 2025
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
AAAI 2025
What to Distill? Fast Knowledge Distillation with Adaptive Sampling
ICCV 2025
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
AAAI 2025
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
AAAI 2025
Banking Done Right: Redefining Retail Banking with Language-Centric AI
EMNLP 2025
Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection
ICCV 2025
Secure On-Device Video OOD Detection Without Backpropagation
ICCV 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
IJCAI 2025
UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis
ACL 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
IJCAI 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
AAAI 2025
GRIT: Guided Relational Integration for Efficient Multi-Table Understanding
EMNLP 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures
IJCAI 2025
FBQuant: FeedBack Quantization for Large Language Models
IJCAI 2025
Efficient Robustness Evaluation via Constraint Relaxation
AAAI 2025
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
IJCAI 2025
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
IJCAI 2025
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
ICLR 2025
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