Bias Mitigation papers, 2023–2026
Debiasing algorithms
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 284 papers are tagged with this topic.
Key findings
- Bias Mitigation went from 50 papers in 2023 to 76 in 2026, roughly 1.5x in three years.
- ICLR publishes the most Bias Mitigation work: 85 papers from 2023 to 2026, 30% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 0 in 2023 to 15 in 2026.
- Among the 5 topics under Causal and Fairness, it ranks #4 by 2026 paper count; the fastest grower in the group, Causal Discovery, is up 2.4x versus 1.5x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 7 | 26 | 8 | 9 | 50 |
| 2024 | 25 | 12 | 23 | 13 | 73 |
| 2025 | 38 | 23 | 17 | 7 | 85 |
| 2026 | 14 | 24 | 24 | 14 | 76 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Controlling for Omitted Variable Bias in Deep Neural Networks
- ICML 2026BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
- ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
- CVPR 2026BAMI Training-Free Bias Mitigation in GUI Grounding
- NeurIPS 2025Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
- ICML 2025Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
- ICLR 2025ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
- CVPR 2025Data Distributional Properties As Inductive Bias for Systematic Generalization
- NeurIPS 2024Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical Systems
- ICML 2024Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
- ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
- CVPR 2024Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
- NeurIPS 2023Fast Model DeBias with Machine Unlearning
- ICML 2023FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
- ICLR 2023Bias Propagation in Federated Learning
- CVPR 2023Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
- NeurIPS 2026Empirical Bayes Rebiasing
- ICML 2026DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
- ICLR 2026BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
- CVPR 2026Bias at the End of the Score
All Bias Mitigation papers
17 papers, page 1 of 1
- ICML 2025ADDQ: Adaptive distributional double Q-learning
- ICML 2025Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
- ICML 2025Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
- ICML 2025Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
- ICML 2025Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
- ICML 2025Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
- ICML 2025Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations
- ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
- ICML 2025NeuronTune: Towards Self-Guided Spurious Bias Mitigation
- ICML 2025On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
- ICML 2025On the Emergence of Position Bias in Transformers
- ICML 2025Parametric Scaling Law of Tuning Bias in Conformal Prediction
- ICML 2025Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
- ICML 2025Resolving Lexical Bias in Model Editing
- ICML 2025Rethinking the Bias of Foundation Model under Long-tailed Distribution
- ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
- ICML 2025Subgroups Matter for Robust Bias Mitigation
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FAQ
- How many Bias Mitigation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 284 in total: 50 in 2023, 73 in 2024, 85 in 2025, 76 in 2026.
- How many Bias Mitigation papers are at NeurIPS 2026?
- NeurIPS 2026 has 14 Bias Mitigation papers, versus 38 the year before.
- How many Bias Mitigation papers are at ICLR 2026?
- ICLR 2026 has 24 Bias Mitigation papers, versus 23 the year before.
- How many Bias Mitigation papers are at ICML 2026?
- ICML 2026 has 24 Bias Mitigation papers, versus 17 the year before.
- How many Bias Mitigation papers are at CVPR 2026?
- CVPR 2026 has 14 Bias Mitigation papers, versus 7 the year before.
- Which conference publishes the most Bias Mitigation papers?
- ICLR, with 85 papers from 2023 to 2026.