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N. Siddharth

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Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less

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Apr 02, 2024
Mattia Opper, N. Siddharth

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On the effect of curriculum learning with developmental data for grammar acquisition

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Nov 03, 2023
Mattia Opper, J. Morrison, N. Siddharth

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DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge

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Jun 13, 2023
Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth

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Autoencoding Conditional Neural Processes for Representation Learning

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May 29, 2023
Victor Prokhorov, Ivan Titov, N. Siddharth

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StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure

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May 09, 2023
Mattia Opper, Victor Prokhorov, N. Siddharth

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Drawing out of Distribution with Neuro-Symbolic Generative Models

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Jun 03, 2022
Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le, N. Siddharth

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Adversarial Masking for Self-Supervised Learning

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Jan 31, 2022
Yuge Shi, N. Siddharth, Philip H. S. Torr, Adam R. Kosiorek

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Learning Multimodal VAEs through Mutual Supervision

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Jul 01, 2021
Tom Joy, Yuge Shi, Philip H. S. Torr, Tom Rainforth, Sebastian M. Schmon, N. Siddharth

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InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents

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Jun 25, 2021
Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth

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