Samira Ebrahimi Kahou
17 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Academic Marathon (8) π§ Keyword Pioneer π Conference Polyglot (7) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(32)
π
Conference Polyglot
(7)
π
Grand Slam
π
Century Club
(15)
π₯
Unstoppable
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(65)
Conferences
NIPS (5)
ICML (3)
ICCV (2)
ICLR (2)
AAAI (1)
ACL (1)
CVPR (1)
EACL (1)
NAACL (1)
Top co-authors
Keywords
reinforcement learning
(2)
deep reinforcement learning
(2)
convolutional neural network
(2)
few-shot learning
(2)
value function
(2)
temporal difference learning
(1)
semi-supervised learning
(1)
sequence modeling
(1)
domain adaptation
(1)
transfer learning
(1)
sentiment analysis
(1)
batch normalization
(1)
interpretable machine learning
(1)
multi-modal learning
(1)
distribution shift
(1)
concept representation
(1)
text-to-image generation
(1)
variational inference
(1)
image classification
(1)
representation learning
(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
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
NAACL 2024
Learning to Play Atari in a World of Tokens
ICML 2024
Discovering Object-Centric Generalized Value Functions From Pixels
ICML 2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss
NIPS 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
NIPS 2023
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
CVPR 2022
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
ICLR 2022
Learning Robust Dynamics through Variational Sparse Gating
NIPS 2022
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
Dead-ends and Secure Exploration in Reinforcement Learning
ICML 2019
Towards Deep Conversational Recommendations
NIPS 2018
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
NIPS 2017
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense
ICCV 2017