Efficient Computing

Tokenization Falling Short: On Subword Robustness in Large Language Models EMNLP 2024 Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024 TOPICAL: TOPIC Pages AutomagicaLly NAACL 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains JMLR 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Towards a Better Theoretical Understanding of Independent Subnetwork Training ICML 2024 Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024 Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024 Towards Certified Unlearning for Deep Neural Networks ICML 2024 Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators ICLR 2024 Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024 Towards Effective and Efficient Non-autoregressive Decoding Using Block-based Attention Mask Interspeech 2024 Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning AAAI 2024 Towards efficient deep spiking neural networks construction with spiking activity based pruning ICML 2024 Towards efficient self-supervised representation learning in speech processing EACL 2024 Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration ICML 2024 Towards Efficient Training and Evaluation of Robust Models against l_0 Bounded Adversarial Perturbations ICML 2024 Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks EMNLP 2024 Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework ICLR 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Towards General Neural Surrogate Solvers with Specialized Neural Accelerators ICML 2024 Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation ICLR 2024 Towards Human-aligned Evaluation for Linear Programming Word Problems COLING 2024