Piotr Miłoś
19 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (10)
🐝
Cross-Pollinator
(10)
🌈
Renaissance Researcher
(7)
🗺️
Taxonomy Completionist
(35)
🏆
Grand Slam
🏆
Keyword Champion
(2)
👑
Triple Crown
🗃️
Keyword Collector
(60)
💎
Century Club
(19)
🔥
Unstoppable
(6)
⚡
Prolific Year
(6)
Conferences
NIPS (10)
ICML (4)
ICLR (3)
AAAI (1)
ACL (1)
Top co-authors
Keywords
continual learning
(3)
reinforcement learning
(2)
large language model
(2)
long context
(2)
transfer learning
(2)
contrastive learning
(2)
context utilization
(2)
continuous control
(2)
catastrophic forgetting
(1)
in-context learning
(1)
representation learning
(1)
information retrieval
(1)
out-of-distribution generalization
(1)
data representation
(1)
attention mechanism
(1)
puzzle solving
(1)
gradient descent
(1)
continual reinforcement learning
(1)
best-first search
(1)
signaling games
(1)
Papers
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
ICML 2025
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
ICML 2025
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control
NIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NIPS 2024
Analysing The Impact of Sequence Composition on Language Model Pre-Training
ACL 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
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
ICML 2024
Focused Transformer: Contrastive Training for Context Scaling
NIPS 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
NIPS 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
NIPS 2023
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
ICLR 2023
Disentangling Transfer in Continual Reinforcement Learning
NIPS 2022
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
NIPS 2022
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
NIPS 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
NIPS 2021
Subgoal Search For Complex Reasoning Tasks
NIPS 2021
Model Based Reinforcement Learning for Atari
ICLR 2020