Chris Pal

29 papers · 2017–2023 · 9 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🏃 Academic Marathon (6) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🏃 Academic Marathon (6) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (136) ⚡ Prolific Year (8) ❓ The Questioner (3) 🔥 Unstoppable (7) 💎 Century Club (29)

Conferences

NIPS (17) ACL (3) EMNLP (2) ICLR (2) AAAI (1) CORL (1) ICML (1) IJCNLP (1) NAACL (1)

Top co-authors

Yoshua Bengio (8) Jie Fu (5) Adam Trischler (5) Derek Nowrouzezahrai (4) Christopher Beckham (4) Sandeep Subramanian (3) Xingdi Yuan (3) Raymond Li (3) Marc-Alexandre Côté (3) Zhouhan Lin (2)

Keywords

reinforcement learning (3) question answering (3) attention mechanism (3) interactive learning (3) machine reading comprehension (3) neural network (2) transformer language model (2) text-based environment (2) recurrent neural network (2) latent representation (2) unsupervised learning (2) inductive bia (2) multi-modal learning (2) dialogue system (2) deep reinforcement learning (2) adversarial learning (2) semi-supervised learning (2) information seeking (2) generative model (2) gradient-based optimization (1)

Papers

Parallel-mentoring for Offline Model-based Optimization NIPS 2023 Are Diffusion Models Vision-And-Language Reasoners? NIPS 2023 Block-State Transformers NIPS 2023 Neural Attentive Circuits NIPS 2022 MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation NIPS 2022 Attention-based Neural Cellular Automata NIPS 2022 DuoRAT: Towards Simpler Text-to-SQL Models NAACL 2021 Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ACL 2020 Interactive Machine Comprehension with Information Seeking Agents ACL 2020 Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning AAAI 2020 Measuring Systematic Generalization in Neural Proof Generation with Transformers NIPS 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NIPS 2020 Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NIPS 2020 On Extractive and Abstractive Neural Document Summarization with Transformer Language Models EMNLP 2020 On Adversarial Mixup Resynthesis NIPS 2019 Neural Multisensory Scene Inference NIPS 2019 Real-Time Reinforcement Learning NIPS 2019 Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments CORL 2019 Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019 Interactive Language Learning by Question Answering EMNLP 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 Interactive Language Learning by Question Answering IJCNLP 2019 Towards Deep Conversational Recommendations NIPS 2018 Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding NIPS 2018 Twin Networks: Matching the Future for Sequence Generation ICLR 2018 Unsupervised Depth Estimation, 3D Face Rotation and Replacement NIPS 2018 Towards Text Generation with Adversarially Learned Neural Outlines NIPS 2018 On orthogonality and learning recurrent networks with long term dependencies ICML 2017 ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events NIPS 2017