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Hanie Sedghi

14 papers · 2014–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (27) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (59) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2)

Venues

ICLR (10) NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Behnam Neyshabur (7) Zachary Chase Lipton (2) Anima Anandkumar (2) Chiyuan Zhang (2) Philip M. Long (2) Rahim Entezari (2) Olga Saukh (2) Xinran Zhao (1) Niladri Chatterji (1) Bernd Bohnet (1)

Research topics

Machine Learning (13) Optimization & Theory (9) Deep Learning (8) Architectures (5) Techniques (5) Artificial Intelligence (3) Application Areas (3) Mathematics & Optimization (2) Core AI (2) Core Methods (2) Learning Types (2) Optimization (2) Learning Paradigms (1)

Keywords

neural network (3) convolutional neural network (3) stochastic gradient descent (2) permutation invariance (2) transfer learning (2) loss landscape (2) unlabeled data (2) neural network training (1) vision transformer (1) representation learning (1) parameter estimation (1) in-context learning (1) convergence analysis (1) deep learning (1) label noise (1) domain generalization (1) tensor decomposition (1) minimax optimization (1) online learning (1) neural network optimization (1)

Papers

Improving Large Language Model Planning with Action Sequence Similarity ICLR 2025 Can Neural Network Memorization Be Localized? ICML 2023 Leveraging Unlabeled Data to Track Memorization ICLR 2023 REPAIR: REnormalizing Permuted Activations for Interpolation Repair ICLR 2023 Exploring the Limits of Large Scale Pre-training ICLR 2022 Leveraging unlabeled data to predict out-of-distribution performance ICLR 2022 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks ICLR 2022 The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers ICLR 2021 Generalization bounds for deep convolutional neural networks ICLR 2020 The intriguing role of module criticality in the generalization of deep networks ICLR 2020 What is being transferred in transfer learning? NeurIPS 2020 The Singular Values of Convolutional Layers ICLR 2019 Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014