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• 2022 : APP: Anytime Progressive Pruning »
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• 2022 Poster: Universality of Winning Tickets: A Renormalization Group Perspective »
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• 2022 Poster: Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition »
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• 2022 Oral: Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition »
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• 2022 Spotlight: Training Your Sparse Neural Network Better with Any Mask »
  Ajay Jaiswal · Haoyu Ma · Tianlong Chen · Ying Ding · Zhangyang “Atlas” Wang
• 2022 Spotlight: VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty »
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• 2022 Poster: Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets »
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• 2022 Poster: Removing Batch Normalization Boosts Adversarial Training »
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• 2022 Poster: Neural Implicit Dictionary Learning via Mixture-of-Expert Training »
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• 2021 Poster: Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm »
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• 2021 Oral: Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm »
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• 2021 Poster: Graph Contrastive Learning Automated »
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• 2021 Poster: Self-Damaging Contrastive Learning »
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• 2021 Poster: A Unified Lottery Ticket Hypothesis for Graph Neural Networks »
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• 2021 Spotlight: Efficient Lottery Ticket Finding: Less Data is More »
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• 2020 Poster: Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training »
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• 2020 Poster: When Does Self-Supervision Help Graph Convolutional Networks? »
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• 2020 Poster: Automated Synthetic-to-Real Generalization »
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• 2020 Poster: Eliminating the Invariance on the Loss Landscape of Linear Autoencoders »
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• 2020 Poster: NADS: Neural Architecture Distribution Search for Uncertainty Awareness »
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• 2020 Poster: AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks »
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