BINAS: Bilinear Interpretable Neural Architecture Search (2022) Paper | Github | It's All in the Head: Representation Knowledge Distillation through Classifier Sharing (2022) Paper | Github | End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network (2022) Paper | Github | Diverse Imagenet Models Transfer Better (2022) Paper | Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results (2022) Paper | Github | Multi-label Classification with Partial Annotations using Class-aware Selective Loss (CVPR, 2022) Paper | Github | PETA: Photo Albums Event Recognition using Transformers Attention (ICPR, 2022) Paper | Github | ML-Decoder: Scalable and Versatile Classification Head (2021) Paper | Github | IQNAS: Interpretable Integer Quadratic programming Neural Architecture Search (2021) Paper | Github | Semantic Diversity Learning for Zero-Shot Multi-label Classification (ICCV, 2021) Paper | Github | ImageNet-21K Pretraining for the Masses (NeurIPS, 2021) Paper | Github | An Image is Worth 16x16 Words, What is a Video Worth? (2021) Paper | Github | Asymmetric Loss For Multi-Label Classification (ICCV, 2021) Paper | Github | A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks (2021) Paper | HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search (ICML, 2021) Paper | Github | CobBO: Coordinate Backoff Bayesian Optimization (2021) Paper | Github | TResNet: High Performance GPU-Dedicated Architecture (WACV 2021) Paper | Github | WeMix: How to Better Utilize Data Augmentation (2020) Paper | Knapsack Pruning with Inner Distillation (2020) Paper | Github | ASAP: Architecture Search, Anneal and Prune (AISTAT, 2020) Paper | Compact Network Training for Person ReID (ICMR, 2020) Paper | XNAS: Neural Architecture Search with Expert Advice (NIPS, 2019) Paper | Graph Embedded Pose Clustering for Anomaly Detection (CVPR, 2019) Paper |