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Poster
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Understanding the Failure of Batch Normalization for Transformers in NLP
Jiaxi Wang · Ji Wu · Lei Huang
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Panel
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Thu 9:45
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Panel 5B-2: Training and Inference… & Elucidating the Design…
Andy Shih · Tero Karras
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Poster
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Tue 9:00
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Sample Constrained Treatment Effect Estimation
Raghavendra Addanki · David Arbour · Tung Mai · Cameron Musco · Anup Rao
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Workshop
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Approximate Bayesian Computation for Panel Data with Signature Maximum Mean Discrepancies
Joel Dyer · John Fitzgerald · Bastian Rieck · Sebastian Schmon
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Poster
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Thu 14:00
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Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu · Saman Motamed · Shaunak Srivastava · Fernando D De la Torre
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Poster
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Thu 9:00
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Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih · Dorsa Sadigh · Stefano Ermon
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Poster
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Wed 9:00
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Deep Compression of Pre-trained Transformer Models
Naigang Wang · Chi-Chun (Charlie) Liu · Swagath Venkataramani · Sanchari Sen · Chia-Yu Chen · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Leland Chang
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Workshop
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Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna · György Dán
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Poster
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Thu 9:00
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Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
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Poster
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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su · Xun Xu · Kui Jia
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Poster
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Tue 14:00
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Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder · Yaniv Romano · Matteo Sesia · Yanfei Zhou
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