Efficient Computing

TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation ICLR 2025 Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics ICLR 2025 Tigon: A Distributed Database for a CXL Pod OSDI 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025 TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state ICML 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CVPR 2025 Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time ICML 2025 TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation ICML 2025 Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning EMNLP 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025 TinySubNets: An Efficient and Low Capacity Continual Learning Strategy AAAI 2025 Token-Budget-Aware LLM Reasoning ACL 2025 Token Cropr: Faster ViTs for Quite a Few Tasks CVPR 2025 Token-Efficient VLM: High-Resolution Image Understanding via Dynamic Region Proposal ICCV 2025 Token Level Routing Inference System for Edge Devices ACL 2025 Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs ACL 2025 Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem? ACL 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models ICML 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025