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

283 papers, page 3 of 6

101. ICLR 2025SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
102. ICLR 2025SEBRA : Debiasing through Self-Guided Bias Ranking
103. ICLR 2025Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
104. ICLR 2025Tuning Frequency Bias of State Space Models
105. ICLR 2025Unlearning-based Neural Interpretations
106. ICML 2025ADDQ: Adaptive distributional double Q-learning
107. ICML 2025Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
108. ICML 2025Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
109. ICML 2025Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
110. ICML 2025Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
111. ICML 2025Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
112. ICML 2025Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations
113. ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
114. ICML 2025NeuronTune: Towards Self-Guided Spurious Bias Mitigation
115. ICML 2025On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
116. ICML 2025On the Emergence of Position Bias in Transformers
117. ICML 2025Parametric Scaling Law of Tuning Bias in Conformal Prediction
118. ICML 2025Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
119. ICML 2025Resolving Lexical Bias in Model Editing
120. ICML 2025Rethinking the Bias of Foundation Model under Long-tailed Distribution
121. ICML 2025SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
122. ICML 2025Subgroups Matter for Robust Bias Mitigation
123. NeurIPS 2025A Black-Box Debiasing Framework for Conditional Sampling
124. NeurIPS 2025Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
125. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
126. NeurIPS 2025Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
127. NeurIPS 2025Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
128. NeurIPS 2025Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
129. NeurIPS 2025Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
130. NeurIPS 2025Disentangled Representation Learning via Modular Compositional Bias
131. NeurIPS 2025FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
132. NeurIPS 2025FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
133. NeurIPS 2025FlashBias: Fast Computation of Attention with Bias
134. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
135. NeurIPS 2025How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
136. NeurIPS 2025How Memory in Optimization Algorithms Implicitly Modifies the Loss
137. NeurIPS 2025Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data
138. NeurIPS 2025Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation
139. NeurIPS 2025Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
140. NeurIPS 2025Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
141. NeurIPS 2025Learning to cluster neuronal function
142. NeurIPS 2025LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
143. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
144. NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
145. NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
146. NeurIPS 2025Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
147. NeurIPS 2025On Inductive Biases That Enable Generalization in Diffusion Transformers
148. NeurIPS 2025On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
149. NeurIPS 2025Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All?
150. NeurIPS 2025Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation

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.