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Chris Russell

30 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (55) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (9) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (30) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (151)

Conferences

NIPS (8) CVPR (7) ICCV (4) ICML (4) AISTATS (3) CLEAR (1) EMNLP (1) ICLR (1) IJCAI (1)

Top co-authors

MatthΓ€us Kleindessner (7) Francesco Locatello (6) Bernhard SchΓΆlkopf (5) Lourdes Agapito (5) Richard Bowden (4) Avishkar Saha (3) Joshua Loftus (3) Ricardo Silva (3) Oscar Mendez (3) Dominik Zietlow (3)

Keywords

algorithmic fairness (4) 3d reconstruction (3) semantic segmentation (3) causal inference (3) counterfactual fairness (3) group fairness (3) binary classification (2) fair machine learning (2) demographic parity (2) adversarial robustness (2) fair classification (2) fairness constraint (2) object detection (2) dimensionality reduction (2) variational inference (2) computer vision (2) monocular depth estimation (2) scene understanding (2) counterfactual explanation (2) graph neural network (2)

Papers

LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025
OxonFair: A Flexible Toolkit for Algorithmic Fairness NIPS 2024
Learning Adaptive Neighborhoods for Graph Neural Networks ICCV 2023
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV ICCV 2023
Efficient fair PCA for fair representation learning AISTATS 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning CLEAR 2023
Translating Images into Maps (Extended Abstract) IJCAI 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning NIPS 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NIPS 2022
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain ICLR 2022
Active Sampling for Min-Max Fairness ICML 2022
Pairwise Fairness for Ordinal Regression AISTATS 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models ICML 2022
"The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping CVPR 2022
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes NIPS 2020
Making Decisions that Reduce Discriminatory Impacts ICML 2019
U4D: Unsupervised 4D Dynamic Scene Understanding ICCV 2019
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NIPS 2019
Optimal Submodular Extensions for Marginal Estimation AISTATS 2018
Lifting From the Deep: Convolutional 3D Pose Estimation From a Single Image CVPR 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Counterfactual Fairness NIPS 2017
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NIPS 2017
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video ICCV 2015
Part-Based Modelling of Compound Scenes From Images CVPR 2015
Learning a Manifold as an Atlas CVPR 2013
Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection CVPR 2013