Katja Hofmann
30 papers · 2009–2025 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π¬
Deep Specialist
(10)
π
Grand Slam
π
Keyword Champion
(3)
β‘
Prolific Year Β· Productive
π
Trend Setter
β
The Questioner
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(123)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(21)
Artificial Intelligence
(19)
Reinforcement Learning
(14)
Learning Types Β· Machine Learning
(14)
Methods
(13)
Core AI
(12)
Deep Learning
(10)
Learning Paradigms Β· Artificial Intelligence
(8)
Learning Types Β· Deep Learning
(8)
Core Methods
(5)
Learning Paradigms Β· Machine Learning
(5)
Optimization & Theory
(5)
Application Areas
(4)
Computer Vision
(3)
Analysis
(3)
Keywords
sample efficiency
(6)
reinforcement learning
(5)
task adaptation
(3)
few-shot learning
(3)
deep reinforcement learning
(3)
imitation learning
(2)
task uncertainty
(2)
preference learning
(2)
meta learning
(2)
regret bound
(2)
dueling bandit
(2)
automatic curriculum learning
(2)
sparse reward
(2)
policy learning
(2)
variational inference
(2)
temporal difference learning
(2)
optimistic exploration
(2)
domain generalization
(1)
approximate inference
(1)
online 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
NeurIPS 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
AAAI 2022
Interactively Learning Preference Constraints in Linear Bandits
ICML 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems
NeurIPS 2022
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
ICML 2021
Grounding Spatio-Temporal Language with Transformers
NeurIPS 2021
Memory Efficient Meta-Learning with Large Images
NeurIPS 2021
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
Strategically efficient exploration in competitive multi-agent reinforcement learning
UAI 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
ICML 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning
JMLR 2021
AMRL: Aggregated Memory For Reinforcement Learning
ICLR 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
IJCAI 2020
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
Better Exploration with Optimistic Actor Critic
NeurIPS 2019
Fast Context Adaptation via Meta-Learning
ICML 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
NeurIPS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
NeurIPS 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
CoRL 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