John Canny
25 papers · 2009–2025 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (16) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (7)
π
Cross-Pollinator
(7)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(49)
π§¬
Topic Evolution
π
Keyword Champion
β‘
Prolific Year
(6)
π
Conference Pioneer
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(122)
π
Century Club
(25)
π₯
Unstoppable
(9)
Conferences
EMNLP (4)
NIPS (4)
ACL (3)
CVPR (3)
ICML (2)
WACV (2)
CLEAR (1)
COLING (1)
ECCV (1)
ICCV (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(4)
contrastive learning
(3)
large language model
(3)
self-supervised learning
(3)
natural language generation
(2)
multimodal learning
(2)
self-driving vehicle
(2)
autonomous vehicle
(2)
human advice
(2)
image captioning
(2)
sample efficiency
(1)
matrix factorization
(1)
natural language processing
(1)
embedding learning
(1)
bayesian inference
(1)
semantic segmentation
(1)
computer vision
(1)
text generation
(1)
transfer learning
(1)
zero-shot learning
(1)
Papers
Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coaching Agent Interactions
ACL 2025
Moral Foundations of Large Language Models
EMNLP 2024
Distribution Aware Metrics for Conditional Natural Language Generation
COLING 2024
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
ICML 2024
ALOHa: A New Measure for Hallucination in Captioning Models
NAACL 2024
CLAIR: Evaluating Image Captions with Large Language Models
EMNLP 2023
An Embedding-Dynamic Approach to Self-Supervised Learning
WACV 2023
IC3: Image Captioning by Committee Consensus
EMNLP 2023
Learning Causal Overhypotheses through Exploration in Children and Computational Models
CLEAR 2022
MSA Transformer
ICML 2021
Compressive Visual Representations
NIPS 2021
Measuring the Reliability of Reinforcement Learning Algorithms
ICLR 2020
Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention
WACV 2020
Predictive Information Accelerates Learning in RL
NIPS 2020
Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules
CVPR 2020
Whatβs The Latest? A Question-driven News Chatbot
ACL 2020
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
ACL 2020
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles
CVPR 2019
Evaluating Protein Transfer Learning with TAPE
NIPS 2019
Textual Explanations for Self-Driving Vehicles
ECCV 2018
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
IJCAI 2018
General Models for Rational Cameras and the Case of Two-Slit Projections
CVPR 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
ICCV 2017
A Multi-Teraflop Constituency Parser using GPUs
EMNLP 2013
Factor Modeling for Advertisement Targeting
NIPS 2009