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