Corentin Tallec

11 papers · 2018–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🚀 Conference Pioneer ❓ The Questioner 🗃️ Keyword Collector (51)

Venues

ICLR (4) ICML (3) NeurIPS (3) ICCV (1)

Top co-authors

Michal Valko (5) Florent Altché (5) Jean-Bastien Grill (4) Florian Strub (4) Yann Ollivier (4) Rémi Munos (4) Mohammad Gheshlaghi azar (3) Bilal Piot (3) Shantanu Thakoor (2) Zhaohan Guo (2)

Research topics

Machine Learning (9) Artificial Intelligence (6) Deep Learning (6) Learning Types · Machine Learning (5) Core AI (4) Reinforcement Learning (3) Architectures (3) Methods (3) Core Methods (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Optimization & Theory · Machine Learning (2) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

self-supervised learning (4) recurrent neural network (2) curiosity-driven exploration (2) curiosity-driven learning (2) reinforcement learning (2) representation learning (2) emergent communication (2) temporal modeling (1) semi-supervised learning (1) contrastive learning (1) graph representation learning (1) signaling games (1) off-policy learning (1) audio classification (1) transfer learning (1) continuous time (1) intrinsic motivation (1) imitation learning (1) optical flow (1) online learning (1)

Papers

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 Emergent Communication at Scale ICLR 2022 Emergent Communication: Generalization and Overfitting in Lewis Games NeurIPS 2022 Large-Scale Representation Learning on Graphs via Bootstrapping ICLR 2022 Broaden Your Views for Self-Supervised Video Learning ICCV 2021 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Making Deep Q-learning methods robust to time discretization ICML 2019 Can recurrent neural networks warp time? ICLR 2018 Mixed batches and symmetric discriminators for GAN training ICML 2018 Unbiased Online Recurrent Optimization ICLR 2018