Risultati della ricerca - Fergus, Rob

Stochastic Video Generation with a Learned Prior di Denton, Remi, Fergus, Rob

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Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks di Denton, Remi, Gross, Sam, Fergus, Rob

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diff History for Neural Language Agents di Piterbarg, Ulyana, Pinto, Lerrel, Fergus, Rob

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Training Language Models on Synthetic Edit Sequences Improves Code Synthesis di Piterbarg, Ulyana, Pinto, Lerrel, Fergus, Rob

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Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction di GX-Chen, Anthony, Marino, Kenneth, Fergus, Rob

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Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts di Brown, Ellis, Yang, Jihan, Yang, Shusheng, Fergus, Rob, Xie, Saining

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Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation di Denton, Remi, Zaremba, Wojciech, Bruna, Joan, LeCun, Yann, Fergus, Rob

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Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders di Yadav, Nishant, Monath, Nicholas, Zaheer, Manzil, Fergus, Rob, McCallum, Andrew

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KL-Regularized Reinforcement Learning is Designed to Mode Collapse di GX-Chen, Anthony, Prakash, Jatin, Guo, Jeff, Fergus, Rob, Ranganath, Rajesh

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A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks di Monath, Nicholas, Grathwohl, Will, Boratko, Michael, Fergus, Rob, McCallum, Andrew, Zaheer, Manzil

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Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration di Khaled, Ahmed, Kale, Satyen, Douillard, Arthur, Jin, Chi, Fergus, Rob, Zaheer, Manzil

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SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding di Brown, Ellis, Ray, Arijit, Krishna, Ranjay, Girshick, Ross, Fergus, Rob, Xie, Saining

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PaintBench: Deterministic Evaluation of Precise Visual Editing di Xu, Kai, Brown, Ellis, Madhu, Shrikar, Fergus, Rob, He, He, Xie, Saining

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Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists? di GX-Chen, Anthony, Lin, Dongyan, Samiei, Mandana, Precup, Doina, Richards, Blake A., Fergus, Rob, Marino, Kenneth

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Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC di Du, Yilun, Durkan, Conor, Strudel, Robin, Tenenbaum, Joshua B., Dieleman, Sander, Fergus, Rob, Sohl-Dickstein, Jascha, Doucet, Arnaud, Grathwohl, Will

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Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders di Tong, Shengbang, Zheng, Boyang, Wang, Ziteng, Tang, Bingda, Ma, Nanye, Brown, Ellis, Yang, Jihan, Fergus, Rob, LeCun, Yann, Xie, Saining

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BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games di Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim

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Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs di Tong, Shengbang, Brown, Ellis, Wu, Penghao, Woo, Sanghyun, Middepogu, Manoj, Akula, Sai Charitha, Yang, Jihan, Yang, Shusheng, Iyer, Adithya, Pan, Xichen, Wang, Ziteng, Fergus, Rob, LeCun, Yann, Xie, Saining

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Cambrian-S: Towards Spatial Supersensing in Video di Yang, Shusheng, Yang, Jihan, Huang, Pinzhi, Brown, Ellis, Yang, Zihao, Yu, Yue, Tong, Shengbang, Zheng, Zihan, Xu, Yifan, Wang, Muhan, Lu, Daohan, Fergus, Rob, LeCun, Yann, Fei-Fei, Li, Xie, Saining

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Beyond Language Modeling: An Exploration of Multimodal Pretraining di Tong, Shengbang, Fan, David, Nguyen, John, Brown, Ellis, Zhou, Gaoyue, Qian, Shengyi, Zheng, Boyang, Vallaeys, Théophane, Han, Junlin, Fergus, Rob, Murray, Naila, Ghazvininejad, Marjan, Lewis, Mike, Ballas, Nicolas, Bar, Amir, Rabbat, Michael, Verbeek, Jakob, Zettlemoyer, Luke, Sinha, Koustuv, LeCun, Yann, Xie, Saining

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