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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
Towards Trustworthy, Efficient, and Scalable Machine Learning
AAAI 2025
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
AAAI 2025
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
AAAI 2025
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
EMNLP 2025
Certified Machine Unlearning Under High Dimensional Regime
JMLR 2025
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
AAAI 2025
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
AAAI 2025
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
JMLR 2025
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference
EMNLP 2025
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection
AAAI 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
EMNLP 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
EMNLP 2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
EMNLP 2025
Hybrid Quantum-Classical Style Transfer (Student Abstract)
AAAI 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
AAAI 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 2025
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
AAAI 2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
AAAI 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes
EMNLP 2025
NDD: A Decision Diagram for Network Verification
NSDI 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
AAAI 2025
Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs
NSDI 2025
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