computational efficiency

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing ICLR 2023 Sparse Modular Activation for Efficient Sequence Modeling NeurIPS 2023 Sparse Universal Transformer EMNLP 2023 Split To Learn: Gradient Split for Multi-Task Human Image Analysis WACV 2023 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023 Token Pooling in Vision Transformers for Image Classification WACV 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Understanding the Complexity Gains of Single-Task RL with a Curriculum ICML 2023 Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023 X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023 Active Learning Polynomial Threshold Functions NeurIPS 2022 AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition CVPR 2022 Anytime Dense Prediction with Confidence Adaptivity ICLR 2022 A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation ACL 2022 Beyond Fixation: Dynamic Window Visual Transformer CVPR 2022 Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models ACL 2022 DeeCap: Dynamic Early Exiting for Efficient Image Captioning CVPR 2022 Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation WACV 2022 Efficient Classification of Long Documents Using Transformers ACL 2022 Efficient Kernelized UCB for Contextual Bandits AISTATS 2022 Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes Interspeech 2022 Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation Interspeech 2022 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups ICML 2022 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022