Efficient Computing

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning EMNLP 2024 One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model Interspeech 2024 One-step Spiking Transformer with a Linear Complexity IJCAI 2024 OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024 One Year of Continuous and Automatic Data Gathering from Parliaments of European Union Member States COLING 2024 Online Cascade Learning for Efficient Inference over Streams ICML 2024 Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs ICML 2024 Online Speculative Decoding ICML 2024 Online Subloop Search via Uncertainty Quantization for Efficient Test-Time Adaptation Interspeech 2024 On Measuring Context Utilization in Document-Level MT Systems EACL 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 On the Adaptation of Unlimiformer for Decoder-Only Transformers COLING 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024 On The Fairness Impacts of Hardware Selection in Machine Learning ICML 2024 On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024 On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization COLING 2024 On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective ICML 2024 OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024 OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models ICML 2024 OpenT2T: An Open-Source Toolkit for Table-to-Text Generation EMNLP 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 Optical Diffusion Models for Image Generation NeurIPS 2024 Optimal and Approximate Adaptive Stochastic Quantization NeurIPS 2024 Optimal bounds for ℓ_p sensitivity sampling via ℓ_2 augmentation ICML 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024