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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026

Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026

Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving AAAI 2026

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models AAAI 2026

BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026

URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding AAAI 2026

CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices AAAI 2026

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models AAAI 2026

Post Training Quantization for Efficient Dataset Condensation AAAI 2026

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026

CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026

CoRE-Learning with Look-Ahead and Immediate Resource Allocation AAAI 2026

MemeBQ:Memory Efficient Binary Quantization of LLMs AAAI 2026

Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography AAAI 2026

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026

Learnable Permutation for Structured Sparsity on Transformer Models AAAI 2026

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers AAAI 2026

Flow-Induced Diagonal Gaussian Processes AAAI 2026

Scaling Law for Large Wireless Models AAAI 2026

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models AAAI 2026

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs AAAI 2026

Spiking-Aided Neural Architecture for Efficient and Robust WiFi Sensing AAAI 2026

LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026