Social aspects · accountability transparency and interpretability papers, 2023–2026

Key findings

• Social aspects · accountability transparency and interpretability went from 301 papers in 2023 to 1,357 in 2026, roughly 4.5x in three years.
• NeurIPS publishes the most Social aspects · accountability transparency and interpretability work: 1,275 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Social aspects · privacy: papers tagged with both rose from 0 in 2023 to 93 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #2 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 4.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Unifying Perspective on Language Model Interpretability
• ICML 2026$\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
• ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
• CVPR 2026Beyond Matching to Tiles Bridging Unaligned Aerial and Satellite Views
• NeurIPS 2025$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
• ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
• ICLR 2025Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
• CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
• NeurIPS 20242D-OOB: Attributing Data Contribution Through Joint Valuation Framework
• ICML 2024Attention Meets Post-hoc Interpretability: A Mathematical Perspective
• ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Modern Look at the Relationship between Sharpness and Generalization
• ICLR 2023Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
• CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
• NeurIPS 2026AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
• ICML 2026$\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value Estimation
• ICLR 2026Bandits with Single-Peaked Preferences and Limited Resources
• CVPR 2026IEBGLAn Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and

All Social aspects · accountability transparency and interpretability papers

3,411 papers, page 63 of 69

3101. NeurIPS 2024VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
3102. NeurIPS 2024What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
3103. NeurIPS 2024What makes unlearning hard and what to do about it
3104. NeurIPS 2024What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
3105. NeurIPS 2024When is an Embedding Model More Promising than Another?
3106. NeurIPS 2024Where does In-context Learning Happen in Large Language Models?
3107. NeurIPS 2024Who's asking? User personas and the mechanics of latent misalignment
3108. NeurIPS 2024Why are Visually-Grounded Language Models Bad at Image Classification?
3109. NeurIPS 2024Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
3110. NeurIPS 2024Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
3111. CVPR 20233D Shape Reconstruction of Semi-Transparent Worms
3112. CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
3113. CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
3114. CVPR 2023Analyzing and Diagnosing Pose Estimation With Attributions
3115. CVPR 2023Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
3116. CVPR 2023Blemish-Aware and Progressive Face Retouching With Limited Paired Data
3117. CVPR 2023BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
3118. CVPR 2023BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
3119. CVPR 2023CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
3120. CVPR 2023CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching
3121. CVPR 2023Defining and Quantifying the Emergence of Sparse Concepts in DNNs
3122. CVPR 2023Depth Estimation From Camera Image and mmWave Radar Point Cloud
3123. CVPR 2023DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
3124. CVPR 2023DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
3125. CVPR 2023DivClust: Controlling Diversity in Deep Clustering
3126. CVPR 2023EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata
3127. CVPR 2023Exploring and Utilizing Pattern Imbalance
3128. CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
3129. CVPR 2023Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
3130. CVPR 2023Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues
3131. CVPR 2023Generalist: Decoupling Natural and Robust Generalization
3132. CVPR 2023HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
3133. CVPR 2023HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces
3134. CVPR 2023Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
3135. CVPR 2023Kernel Aware Resampler
3136. CVPR 2023Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
3137. CVPR 2023Learning Neural Parametric Head Models
3138. CVPR 2023LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
3139. CVPR 2023Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
3140. CVPR 2023MEGANE: Morphable Eyeglass and Avatar Network
3141. CVPR 2023NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation
3142. CVPR 2023NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
3143. CVPR 2023On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
3144. CVPR 2023Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
3145. CVPR 2023Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
3146. CVPR 2023PACO: Parts and Attributes of Common Objects
3147. CVPR 2023PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters
3148. CVPR 2023Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words
3149. CVPR 2023Physically Adversarial Infrared Patches With Learnable Shapes and Locations
3150. CVPR 2023PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav

FAQ

How many Social aspects · accountability transparency and interpretability papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,411 in total: 301 in 2023, 589 in 2024, 1,164 in 2025, 1,357 in 2026.

How many Social aspects · accountability transparency and interpretability papers are at NeurIPS 2026?

NeurIPS 2026 has 416 Social aspects · accountability transparency and interpretability papers, versus 522 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICLR 2026?

ICLR 2026 has 292 Social aspects · accountability transparency and interpretability papers, versus 211 the year before.

How many Social aspects · accountability transparency and interpretability papers are at ICML 2026?

ICML 2026 has 541 Social aspects · accountability transparency and interpretability papers, versus 337 the year before.

How many Social aspects · accountability transparency and interpretability papers are at CVPR 2026?

CVPR 2026 has 108 Social aspects · accountability transparency and interpretability papers, versus 94 the year before.

Which conference publishes the most Social aspects · accountability transparency and interpretability papers?

NeurIPS, with 1,275 papers from 2023 to 2026.