Efficient Computing

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024 T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings EMNLP 2024 THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression NSDI 2024 The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks ICML 2024 The Eternal Tussle: Exploring the Role of Centralization in IPFS NSDI 2024 The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry ICLR 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information NeurIPS 2024 The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024 Think Before You Act: Decision Transformers with Working Memory ICML 2024 Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval EMNLP 2024 Tied-LoRA: Enhancing parameter efficiency of LoRA with Weight Tying NAACL 2024 Time-Efficient Light-Field Acquisition Using Coded Aperture and Events CVPR 2024 Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme IJCAI 2024 TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion ECCV 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 TinyAgent: Function Calling at the Edge EMNLP 2024 tinyBenchmarks: evaluating LLMs with fewer examples ICML 2024 TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging EMNLP 2024 tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models Interspeech 2024 Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? NAACL 2024 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge ICML 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024