Piotr Miłoś
19 papers · 2020–2025 · 5 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Triple Crown
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Grand Slam
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Renaissance Researcher
(5)
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Keyword Collector
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Venues
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Research topics
Artificial Intelligence
(13)
Core AI
(12)
Machine Learning
(11)
Learning Types · Machine Learning
(7)
Deep Learning
(6)
Reinforcement Learning
(6)
Natural Language Processing
(5)
Applications
(5)
Resources & Methods
(5)
Methods
(4)
Knowledge & Reasoning
(3)
Architectures
(3)
Learning Types · Deep Learning
(3)
Reasoning
(3)
Application Areas
(2)
Keywords
continual learning
(3)
contrastive learning
(3)
reinforcement learning
(3)
long context
(2)
causal discovery
(2)
information retrieval
(2)
subgoal search
(2)
premise selection
(2)
large language model
(2)
transfer learning
(2)
continuous control
(2)
soft actor-critic
(2)
context utilization
(2)
automated theorem proving
(2)
attention mechanism
(1)
puzzle solving
(1)
video prediction
(1)
model-based planning
(1)
data representation
(1)
hierarchical planning
(1)
Papers
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
ICML 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
ICML 2025
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
Analysing The Impact of Sequence Composition on Language Model Pre-Training
ACL 2024
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control
NeurIPS 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
Magnushammer: A Transformer-Based Approach to Premise Selection
ICLR 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NeurIPS 2024
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
ICLR 2023
Focused Transformer: Contrastive Training for Context Scaling
NeurIPS 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
NeurIPS 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
NeurIPS 2023
Disentangling Transfer in Continual Reinforcement Learning
NeurIPS 2022
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
NeurIPS 2022
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
NeurIPS 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
NeurIPS 2021
Subgoal Search For Complex Reasoning Tasks
NeurIPS 2021
Model Based Reinforcement Learning for Atari
ICLR 2020