Dan Gutfreund
13 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Deep Learning
(3)
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(2)
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multimodal learning
(2)
distribution shift
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object recognition
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benchmark evaluation
(1)
domain generalization
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transfer learning
(1)
imitation learning
(1)
bayesian inference
(1)
visual perception
(1)
opinion mining
(1)
question answering
(1)
graph learning
(1)
uncertainty quantification
(1)
object detection
(1)
video classification
(1)
pose estimation
(1)
text generation
(1)
action recognition
(1)
supervised learning
(1)
zero-shot learning
(1)
Papers
M+: Extending MemoryLLM with Scalable Long-Term Memory
ICML 2025
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
ACL 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
AAAI 2024
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
ICCV 2023
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
NeurIPS 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs
AAAI 2023
Finding Fallen Objects via Asynchronous Audio-Visual Integration
CVPR 2022
3DP3: 3D Scene Perception via Probabilistic Programming
NeurIPS 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
NeurIPS 2021
AGENT: A Benchmark for Core Psychological Reasoning
ICML 2021
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NeurIPS 2019
Reasoning About Human-Object Interactions Through Dual Attention Networks
ICCV 2019
Claims on demand β an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora
COLING 2014