Efficient Computing

HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling CVPR 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023 Improving Long Context Document-Level Machine Translation ACL 2023 Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023 InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds CVPR 2023 Integral Neural Networks CVPR 2023 Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023 KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training NeurIPS 2023 Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain AAAI 2023 Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection CVPR 2023 Learning a Sparse Transformer Network for Effective Image Deraining CVPR 2023 Learning to Grow Pretrained Models for Efficient Transformer Training ICLR 2023 Learning To Zoom and Unzoom CVPR 2023 Learn Your Tokens: Word-Pooled Tokenization for Language Modeling EMNLP 2023 Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation ACL 2023 LightSpeed: Light and Fast Neural Light Fields on Mobile Devices NeurIPS 2023 Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR CVPR 2023 LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing NeurIPS 2023 Location-Aware Visual Question Generation with Lightweight Models EMNLP 2023 Long-Range Language Modeling with Selective Cache EMNLP 2023 LVMT: An Efficient Authenticated Storage for Blockchain OSDI 2023 Making Vision Transformers Efficient From a Token Sparsification View CVPR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation ICLR 2023 Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023 MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition NeurIPS 2023