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662 Results
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Poster
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Wed 11:00 |
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis Cubillos · Guy Revach · Matthew Mender · Joseph Costello · Hisham Temmar · Aren Hite · Diksha Anoop Kumar Zutshi · Dylan Wallace · Xiaoyong Ni · Madison Kelberman · Matt Willsey · Ruud Van Sloun · Nir Shlezinger · Parag Patil · Anne Draelos · Cynthia Chestek |
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Poster
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Wed 11:00 |
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework Parsa Moradi · Behrooz Tahmasebi · Mohammad Maddah-Ali |
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Poster
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Fri 16:30 |
Visual Prompt Tuning in Null Space for Continual Learning Yue Lu · Shizhou Zhang · De Cheng · Yinghui Xing · Nannan Wang · PENG WANG · Yanning Zhang |
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Workshop
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IgBlend: Unifying 3D Structure and Sequence for Antibody LLMs Cédric Malherbe · Talip Ucar |
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Poster
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Thu 16:30 |
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto · Salah GHAMIZI · Maxime Cordy |
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Poster
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Wed 11:00 |
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective Andi Zhang · Mingtian Zhang · Damon Wischik |
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Poster
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Fri 11:00 |
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation Zhe Tao · Aditya V Thakur |
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Workshop
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GraphNeT 2.0 - A Deep Learning Library for Neutrino Telescopes Rasmus Ørsøe · Aske Rosted |
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Poster
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Thu 11:00 |
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers Yunwei Ren · Zixuan Wang · Jason Lee |
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Session
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Thu 16:30 |
Neural Tides: Oceanic Neural Granular Synthesizer Ryan Millett · Seyeon Park · Sabina Hyoju Ahn |
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Oral Session
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Fri 15:30 |
Oral Session 6D: Deep Learning Architecture, Infrastructure |
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Workshop
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Learning to Compress: Local Rank and Information Compression in Deep Neural Networks Niket Patel · Ravid Shwartz-Ziv |