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← Authors

Katja Hofmann

30 papers · 2009–2025 · 13 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (16)
πŸ—ΊοΈ Taxonomy Completionist (53) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (105) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (30) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

NIPS (7) ICML (6) ICLR (4) IJCAI (3) AISTATS (2) AAAI (1) COLT (1) CONLL (1) CORL (1) EACL (1) ICCV (1) JMLR (1) UAI (1)

Top co-authors

Sam Devlin (8) Sebastian Tschiatschek (5) Shimon Whiteson (5) Pierre-yves Oudeyer (4) Luisa Zintgraf (4) Kamil Ciosek (4) Raluca Georgescu (4) Maximilian Igl (4) John Bronskill (3) RΓ©my Portelas (3)

Keywords

sample efficiency (5) reinforcement learning (3) task adaptation (3) deep reinforcement learning (3) few-shot learning (3) optimistic exploration (2) automatic curriculum learning (2) regret bound (2) temporal difference learning (2) dueling bandit (2) preference learning (2) sparse reward (2) domain generalization (1) imitation learning (1) approximate inference (1) online learning (1) image classification (1) neural network architecture (1) offline reinforcement learning (1) curriculum learning (1)

Papers

Scaling Laws for Pre-training Agents and World Models ICML 2025 Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024 Imitating Human Behaviour with Diffusion Models ICLR 2023 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NIPS 2022 Interactively Learning Preference Constraints in Linear Bandits ICML 2022 Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022 Uni[MASK]: Unified Inference in Sequential Decision Problems NIPS 2022 Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation ICML 2021 ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ICCV 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021 Grounding Spatio-Temporal Language with Transformers NIPS 2021 Memory Efficient Meta-Learning with Large Images NIPS 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021 Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning ICML 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Variational Integrator Networks for Physically Structured Embeddings AISTATS 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NIPS 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CORL 2019 Better Exploration with Optimistic Actor Critic NIPS 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019 Fast Context Adaptation via Meta-Learning ICML 2019 Advancements in Dueling Bandits IJCAI 2018 The Malmo Platform for Artificial Intelligence Experimentation IJCAI 2016 Contextual Dueling Bandits COLT 2015 Generating a Non-English Subjectivity Lexicon: Relations That Matter EACL 2009 Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction? CONLL 2009