Sam Gross

6 papers · 2016–2021 · 5 venues · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver

👥 Mega-Team · Squad 🧭 Keyword Pioneer

Venues

ICML (2) CVPR (1) JMLR (1) NAACL (1) NeurIPS (1)

Top co-authors

Adam Lerer (3) arthur szlam (2) Myle Ott (2) Marc'aurelio Ranzato (2) Alban Desmaison (1) Trevor Killeen (1) Rob Fergus (1) Alykhan Tejani (1) David Grangier (1) Francisco Massa (1)

Research topics

Deep Learning (6) Machine Learning (4) Architectures (4) Artificial Intelligence (2) Application Areas (2) Core AI (2) Optimization & Theory (2) Computer Science (1) Computer Vision (1) Natural Language Processing (1) Analysis (1) Applications (1) Core Methods (1) Generation (1) Learning Types (1)

Keywords

language model (2) text generation (2) game theory (1) weakly supervised learning (1) neural machine translation (1) multi-label classification (1) trajectory prediction (1) automatic differentiation (1) neural toolkit (1) software framework (1) counterfactual regret minimization (1) distributed training (1) large scale models (1) autoregressive model (1) convolutional neural network (1) convolutional network (1) energy-based model (1) mixture of expert (1) runtime optimization (1) gpu acceleration (1)

Papers

Residual Energy-Based Models for Text JMLR 2021 Deep Counterfactual Regret Minimization ICML 2019 fairseq: A Fast, Extensible Toolkit for Sequence Modeling NAACL 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017 Learning Physical Intuition of Block Towers by Example ICML 2016