Efficient Computing

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations ACL 2023 Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech Interspeech 2023 Towards Robust Ranker for Text Retrieval ACL 2023 Towards Scalable Neural Representation for Diverse Videos CVPR 2023 Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023 Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution CVPR 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs NeurIPS 2023 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions ICLR 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023 Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy EMNLP 2023 Training Transformers with 4-bit Integers NeurIPS 2023 Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis EACL 2023 Transformer-based World Models Are Happy With 100k Interactions ICLR 2023 Transparent GPU Sharing in Container Clouds for Deep Learning Workloads NSDI 2023 Traversing Between Modes in Function Space for Fast Ensembling ICML 2023 Triangulating Python Performance Issues with SCALENE OSDI 2023 TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization ICCV 2023 Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppression Interspeech 2023 Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity CVPR 2023 UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework ICCV 2023 Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases ICML 2023 Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NeurIPS 2023 Understanding RDMA Microarchitecture Resources for Performance Isolation NSDI 2023 Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning ICCV 2023