Nasim Rahaman
13 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
👥
Mega-Team · Squad
👑
Triple Crown
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(60)
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(8)
Core AI
(8)
Deep Learning
(7)
Architectures
(6)
Techniques
(4)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Application Areas
(1)
Keywords
neural architecture
(2)
neural network
(2)
transfer learning
(2)
few-shot learning
(2)
representation learning
(2)
deep learning
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
attention mechanism
(1)
video prediction
(1)
multimodal learning
(1)
fourier analysis
(1)
continual learning
(1)
out-of-distribution generalization
(1)
markov decision process
(1)
disease surveillance
(1)
causal discovery
(1)
spatial structure
(1)
distribution shift
(1)
reinforcement learning
(1)
Papers
Cultural Alien Sampler: Open-ended Art Generation Balancing Originality and Coherence
NeurIPS 2025
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
ICLR 2024
Discrete Key-Value Bottleneck
ICML 2023
Coordination Among Neural Modules Through a Shared Global Workspace
ICLR 2022
Neural Attentive Circuits
NeurIPS 2022
Dynamic Inference with Neural Interpreters
NeurIPS 2021
Function Contrastive Learning of Transferable Meta-Representations
ICML 2021
Predicting Infectiousness for Proactive Contact Tracing
ICLR 2021
Spatially Structured Recurrent Modules
ICLR 2021
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
ICLR 2020
Learning the Arrow of Time for Problems in Reinforcement Learning
ICLR 2020
On the Spectral Bias of Neural Networks
ICML 2019
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
ECCV 2018