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James Bailey

40 papers · 2010–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🀝 Dynamic Duo (19) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (131) πŸ’Ž Century Club (39) πŸ”₯ Unstoppable (10)

Conferences

ICLR (7) ICML (7) CVPR (5) AAAI (4) IJCAI (4) JMLR (3) NIPS (3) ACML (2) ECCV (2) ICCV (1) MIDL (1) WACV (1)

Top co-authors

Xingjun Ma (20) Yisen Wang (11) Hanxun Huang (7) Sarah Monazam Erfani (7) Christopher Leckie (6) Sarah Erfani (5) Kotagiri Ramamohanarao (5) Jeffrey Chan (4) Peter J. Stuckey (4) Qiuhong Ke (4)

Keywords

combinatorial optimization (4) deep neural network (4) noisy label (4) predict and optimize (3) neural network (3) skeleton-based action recognition (3) zero-shot learning (2) adversarial robustness (2) mutual information (2) cross entropy (2) clustering comparison (2) loss function (2) adversarial training (2) dynamic programming (2) adversarial example (2) feature extraction (1) data poisoning (1) online learning (1) model selection (1) label noise detection (1)

Papers

Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026
Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP ICML 2025
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition CVPR 2025
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models ICML 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery MIDL 2024
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition CVPR 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024
Distilling Cognitive Backdoor Patterns within an Image ICLR 2023
Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022
MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022
IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition ECCV 2022
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NIPS 2021
Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021
Unlearnable Examples: Making Personal Data Unexploitable ICLR 2021
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021
Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks ECCV 2020
Improving Adversarial Robustness Requires Revisiting Misclassified Examples ICLR 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets ICLR 2020
Normalized Loss Functions for Deep Learning with Noisy Labels ICML 2020
Dynamic Programming for Predict+Optimise AAAI 2020
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles CVPR 2020
SynthNet: Learning to Synthesize Music End-to-End IJCAI 2019
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions IJCAI 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes NIPS 2019
On the Convergence and Robustness of Adversarial Training ICML 2019
Dimensionality-Driven Learning with Noisy Labels ICML 2018
Iterative Learning With Open-Set Noisy Labels CVPR 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections ICML 2017
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017
Adjusting for Chance Clustering Comparison Measures JMLR 2016
Robust Domain Generalisation by Enforcing Distribution Invariance IJCAI 2016
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance JMLR 2010