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Poster
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Wed 11:00
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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
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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
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Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting
man zhou
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Workshop
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Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
Jiajun Chai · Sicheng Li · Yuqian Fu · Dongbin Zhao · Yuanheng Zhu
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Poster
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Fri 16:30
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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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Poster
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Thu 11:00
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Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
Yunwei Ren · Zixuan Wang · Jason Lee
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Poster
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Wed 11:00
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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
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Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
Zhe Tao · Aditya V Thakur
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Oral Session
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Fri 15:30
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Oral Session 6D: Deep Learning Architecture, Infrastructure
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Poster
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Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
Jiashi Gao · Ziwei Wang · Xiangyu Zhao · Xin Yao · Xuetao Wei
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Poster
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Thu 16:30
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TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
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Session
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Thu 16:30
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Neural Tides: Oceanic Neural Granular Synthesizer
Ryan Millett · Seyeon Park · Sabina Hyoju Ahn
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