Learning To Stop While Learning To Predict
☆34Nov 2, 2022Updated 3 years ago
Alternatives and similar repositories for l2stop
Users that are interested in l2stop are comparing it to the libraries listed below
Sorting:
- ☆19Jun 26, 2021Updated 4 years ago
- Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.☆14Aug 26, 2020Updated 5 years ago
- Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019☆10Jan 25, 2024Updated 2 years ago
- ☆22Apr 21, 2021Updated 4 years ago
- Implementation for NATv2.☆23Feb 20, 2021Updated 5 years ago
- Domain-Adaptive Multibranch Networks☆14Nov 7, 2020Updated 5 years ago
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Apr 17, 2020Updated 5 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Dec 4, 2020Updated 5 years ago
- ☆13Aug 28, 2018Updated 7 years ago
- ☆27Dec 13, 2022Updated 3 years ago
- Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Jan 2, 2022Updated 4 years ago
- [CVPR 2018 UG2 Challenge, Winner] BRIDGING THE GAP BETWEEN COMPUTATIONAL PHOTOGRAPHY AND VISUAL RECOGNITION☆12Dec 31, 2021Updated 4 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- source code for paper "Accelerate Learning of Deep Hashing With Gradient Attention" (ICCV 2019)☆11Jan 14, 2020Updated 6 years ago
- ☆14Sep 7, 2022Updated 3 years ago
- Architecture embeddings independent from the parametrization of the search space☆15Mar 17, 2021Updated 4 years ago
- Dataset accompanying the paper "Adaptive Methods for Real-World Domain Generalization"☆16Aug 17, 2023Updated 2 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Jun 12, 2020Updated 5 years ago
- This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.☆14Jan 21, 2020Updated 6 years ago
- Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs☆16Sep 10, 2019Updated 6 years ago
- ☆15Dec 19, 2023Updated 2 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Nov 18, 2019Updated 6 years ago
- Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search☆16Jul 25, 2024Updated last year
- Code for EMNLP 2020 paper CoDIR☆41Oct 4, 2022Updated 3 years ago
- Gradients as Features for Deep Representation Learning☆43Mar 8, 2020Updated 6 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Jul 28, 2020Updated 5 years ago
- ☆19Mar 5, 2019Updated 7 years ago
- ☆18Nov 13, 2019Updated 6 years ago
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆27Aug 20, 2023Updated 2 years ago
- Code for paper "Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction"☆19Jan 28, 2021Updated 5 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Dec 17, 2019Updated 6 years ago
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆22Dec 17, 2023Updated 2 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- MSDNet☆191Jan 7, 2022Updated 4 years ago
- Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."☆25Oct 7, 2020Updated 5 years ago
- Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).☆25Jan 9, 2025Updated last year
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago
- This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".☆49Feb 7, 2021Updated 5 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Dec 30, 2021Updated 4 years ago