Bias Mitigation papers, 2023–2026

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.

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

84 papers, page 2 of 2

51. NeurIPS 2025Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
52. NeurIPS 2025When majority rules, minority loses: bias amplification of gradient descent
53. NeurIPS 2024A distributional simplicity bias in the learning dynamics of transformers
54. NeurIPS 2024Addressing Bias in Online Selection with Limited Budget of Comparisons
55. NeurIPS 2024Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
56. NeurIPS 2024Bayesian Identification of the Hamiltonian Inductive Bias in Dynamical Systems
57. NeurIPS 2024Bias Detection via Signaling
58. NeurIPS 2024Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
59. NeurIPS 2024Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
60. NeurIPS 2024Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
61. NeurIPS 2024Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
62. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
63. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
64. NeurIPS 2024Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
65. NeurIPS 2024FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
66. NeurIPS 2024How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
67. NeurIPS 2024Implicit Bias of Mirror Flow on Separable Data
68. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
69. NeurIPS 2024IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
70. NeurIPS 2024Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
71. NeurIPS 2024Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
72. NeurIPS 2024Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
73. NeurIPS 2024Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
74. NeurIPS 2024The Implicit Bias of Adam on Separable Data
75. NeurIPS 2024The Implicit Bias of Gradient Descent on Separable Multiclass Data
76. NeurIPS 2024Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
77. NeurIPS 2024Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
78. NeurIPS 2023Fast Model DeBias with Machine Unlearning
79. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
80. NeurIPS 2023Mitigating Source Bias for Fairer Weak Supervision
81. NeurIPS 2023Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”
82. NeurIPS 2023Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
83. NeurIPS 2023Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
84. NeurIPS 2023The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

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.