Samira Ebrahimi Kahou
17 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(86)
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Unstoppable Β· Bronze
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Research topics
Artificial Intelligence
(11)
Core AI
(9)
Machine Learning
(8)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Reinforcement Learning
(5)
Methods
(5)
Architectures
(4)
Core Methods
(4)
Application Areas
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Applications
(1)
Keywords
reinforcement learning
(3)
deep reinforcement learning
(2)
few-shot learning
(2)
value function
(2)
convolutional neural network
(2)
temporal difference learning
(1)
semi-supervised learning
(1)
sequence modeling
(1)
transfer learning
(1)
concept representation
(1)
domain adaptation
(1)
sentiment analysis
(1)
batch normalization
(1)
multimodal learning
(1)
variational inference
(1)
text-to-image generation
(1)
motion forecasting
(1)
trajectory prediction
(1)
interpretable machine learning
(1)
real-time control
(1)
Papers
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
ACL 2026
Multimodal Large Language Models for Human-AI Interaction: Foundations, Agents, and Inclusive Applications
EACL 2026
Handling Delay in Real-Time Reinforcement Learning
ICLR 2025
Learning to Play Atari in a World of Tokens
ICML 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
NAACL 2024
Auxiliary Losses for Learning Generalizable Concept-based Models
NeurIPS 2023
Discovering Object-Centric Generalized Value Functions From Pixels
ICML 2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss
NeurIPS 2023
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
ICLR 2022
Learning Robust Dynamics through Variational Sparse Gating
NeurIPS 2022
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
CVPR 2022
Dead-ends and Secure Exploration in Reinforcement Learning
ICML 2019
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
ICCV 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
AAAI 2019
Towards Deep Conversational Recommendations
NeurIPS 2018
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
NeurIPS 2017
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense
ICCV 2017