Chris Pal
29 papers · 2017–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (65) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
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Grand Slam
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Topic Evolution
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Keyword Champion
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Keyword Pioneer
β‘
Prolific Year Β· Productive
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Trend Setter
π₯
Unstoppable Β· Bronze
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The Questioner
(3)
ποΈ
Keyword Collector
(148)
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Conference Pioneer
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Renaissance Researcher
(7)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(15)
Deep Learning
(13)
Core AI
(13)
Learning Types Β· Machine Learning
(10)
Natural Language Processing
(8)
Architectures
(8)
Reinforcement Learning
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(4)
Generation
(4)
Methods
(4)
Models
(4)
Optimization & Theory
(4)
Applications
(3)
Keywords
attention mechanism
(3)
recurrent neural network
(3)
reinforcement learning
(3)
long-term dependency
(3)
transformer language model
(2)
dialogue system
(2)
neural network
(2)
continuous control
(2)
latent representation
(2)
generative model
(2)
inductive bia
(2)
information seeking
(2)
interactive learning
(2)
multimodal learning
(2)
unsupervised learning
(2)
machine reading comprehension
(2)
adversarial learning
(2)
question answering
(2)
semi-supervised learning
(2)
bayesian inference
(1)
Papers
The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages
Interspeech 2025
Are Diffusion Models Vision-And-Language Reasoners?
NeurIPS 2023
Block-State Transformers
NeurIPS 2023
Parallel-mentoring for Offline Model-based Optimization
NeurIPS 2023
Attention-based Neural Cellular Automata
NeurIPS 2022
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
NeurIPS 2022
Neural Attentive Circuits
NeurIPS 2022
DuoRAT: Towards Simpler Text-to-SQL Models
NAACL 2021
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
NeurIPS 2020
Interactive Machine Comprehension with Information Seeking Agents
ACL 2020
Measuring Systematic Generalization in Neural Proof Generation with Transformers
NeurIPS 2020
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
EMNLP 2020
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
NeurIPS 2020
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
AAAI 2020
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
ACL 2020
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
ACL 2019
Interactive Language Learning by Question Answering
EMNLP 2019
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
CoRL 2019
Neural Multisensory Scene Inference
NeurIPS 2019
On Adversarial Mixup Resynthesis
NeurIPS 2019
Probabilistic Planning with Sequential Monte Carlo methods
ICLR 2019
Real-Time Reinforcement Learning
NeurIPS 2019
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
NeurIPS 2018
Towards Deep Conversational Recommendations
NeurIPS 2018
Towards Text Generation with Adversarially Learned Neural Outlines
NeurIPS 2018
Twin Networks: Matching the Future for Sequence Generation
ICLR 2018
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
NeurIPS 2018
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
NeurIPS 2017
On orthogonality and learning recurrent networks with long term dependencies
ICML 2017