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114 Results
Poster
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Tue 2:30 |
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box Yi Cai · Gerhard Wunder |
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Workshop
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Differentiable Weighted Automata Anand Balakrishnan · Jyotirmoy Deshmukh |
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Poster
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Thu 2:30 |
Clustered Federated Learning via Gradient-based Partitioning Heasung Kim · Hyeji Kim · Gustavo De Veciana |
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Poster
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Wed 2:30 |
Asymptotics of feature learning in two-layer networks after one gradient-step Hugo Cui · Luca Pesce · Yatin Dandi · FLORENT KRZAKALA · Yue Lu · Lenka Zdeborova · Bruno Loureiro |
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Workshop
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∇τ: Gradient-based and Task-Agnostic Machine Unlearning Daniel Trippa · Cesare Campagnano · Maria Sofia Bucarelli · Gabriele Tolomei · Fabrizio Silvestri |
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Workshop
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Gradient-based Discrete Sampling with Automatic Cyclical Scheduling Patrick Pynadath · Riddhiman Bhattacharya · Arun Narayanan Hariharan · Ruqi Zhang |
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Poster
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Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai · Yaodong Yang · Qian Zheng · Gang Pan |
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Poster
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Tue 2:30 |
Principled Gradient-Based MCMC for Conditional Sampling of Text Li Du · Afra Amini · Lucas Torroba Hennigen · Xinyan Velocity Yu · Holden Lee · Jason Eisner · Ryan Cotterell |
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Poster
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Wed 4:30 |
Improving Gradient-Guided Nested Sampling for Posterior Inference Pablo Lemos · Nikolay Malkin · Will Handley · Yoshua Bengio · Yashar Hezaveh · Laurence Perreault-Levasseur |
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Poster
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Wed 2:30 |
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving Sohei Arisaka · Qianxiao Li |
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Poster
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Wed 2:30 |
Gradient-based Visual Explanation for Transformer-based CLIP Chenyang ZHAO · Kun Wang · Xingyu Zeng · Rui Zhao · Antoni Chan |
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Workshop
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CGMTorch: A Framework for Gradient-based Design of Computational Granular Metamaterials Atoosa Parsa · Corey OHern · Rebecca Kramer-Bottiglio · Josh Bongard |