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Poster
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Fri 7:30
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AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
Rohan Sharma · Kaiyi Ji · Zhiqiang Xu · Changyou Chen
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Poster
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Wed 7:30
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On the Effect of Batch Size in Byzantine-Robust Distributed Learning
Yi-Rui Yang · Chang-Wei Shi · Wu-Jun Li
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Poster
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Wed 7:30
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Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Yuchen Hu · CHEN CHEN · Chao-Han Huck Yang · Ruizhe Li · Chao Zhang · Pin-Yu Chen · Ensiong Chng
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Poster
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Wed 1:45
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Outlier-Robust Subsampling Techniques for Persistent Homology
Bernadette J. Stolz
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Workshop
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FASTVPINNS: A FAST, VERSATILE AND ROBUST VARIATIONAL PINNS FRAMEWORK FOR FORWARD AND INVERSE PROBLEMS IN SCIENCE
Divij Ghose · Thivin Anandh · Sashikumaar Ganesan
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Workshop
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Robust CLIP: Unsupervised Adversarial Fine-tuning of Vision Embeddings for Robust Large Vision-Language Models
Christian Schlarmann · Naman Singh · francesco croce · Matthias Hein
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Workshop
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Virtual Classifier: A Reversed Approach for Robust Image Evaluation
Jizhe Zhang · Yifei Wang · Yisen Wang
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Workshop
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Graph Gaussian Processes for Efficient Robust Monte Carlo Tree Search
Dorina Weichert · Samuel Wiest · Sebastian Houben · Paul Ploeger
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Workshop
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VideoCon: Robust Video-Language Alignment via Contrast Captions
Hritik Bansal · Yonatan Bitton · Idan Szpektor · Kai-Wei Chang · Aditya Grover
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Workshop
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Transformers Can Achieve Length Generalization But Not Robustly
Yongchao Zhou · Uri Alon · Xinyun Chen · Xuezhi Wang · Rishabh Agarwal · Denny Zhou
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Workshop
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ResNet-Induced Convex Integration Model: a Novel Robust Framework through the Regularity of Optimal Transport
Kuo Gai · Sicong Wang · Shihua Zhang
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Workshop
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Sat 2:30
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Best Paper Oral Presentation #3 - VideoCon: Robust Video-Language Alignment via Contrast Captions [Speaker: Hritik Bansal (UCLA)]
Hritik Bansal
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