社会层面 · accountability transparency and interpretability论文趋势 2023–2026
AI 社会议题：accountability_transparency_and_interpretability
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,411 篇被归入该主题的论文。
主要结论
- 社会层面 · accountability transparency and interpretability论文从 2023 年的 301 篇增长到 2026 年的 1,357 篇，三年间扩大到约 4.5 倍。
- NeurIPS 是发社会层面 · accountability transparency and interpretability论文最多的会议，2023–2026 年共 1,275 篇，占四个会议总量的 37%。
- 交叉方向里涨得最快的是社会层面 · privacy：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 93 篇。
- 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的社会层面 · safety是 93 倍，社会层面 · accountability transparency and interpretability是 4.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 82 | 57 | 94 | 68 | 301 |
| 2024 | 255 | 83 | 152 | 99 | 589 |
| 2025 | 522 | 211 | 337 | 94 | 1,164 |
| 2026 | 416 | 292 | 541 | 108 | 1,357 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部社会层面 · accountability transparency and interpretability论文
共 3,411 篇，第 28 / 69 页
- NeurIPS 2026When Are Compositional Problems Learnable from Verifiable Rewards?
- NeurIPS 2026When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models
- NeurIPS 2026When Poison Meets Structure: Topology-based Defense against Poisoning Attack on Graph-based Retrieval-Augmented Generation
- NeurIPS 2026Where Should Society Draw the Line? A Social Choice Approach to Collective Consent
- NeurIPS 2026Where to Connect? Boosting MLLMs via Dynamic Gated Pathways across ALL ViT and LLM Layers
- NeurIPS 2026Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
- NeurIPS 2026Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
- CVPR 20253DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
- CVPR 20254DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
- CVPR 2025A Unified, Resilient, and Explainable Adversarial Patch Detector
- CVPR 2025All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
- CVPR 2025AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer
- CVPR 2025Assessing and Learning Alignment of Unimodal Vision and Language Models
- CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
- CVPR 2025Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
- CVPR 2025Automatic Spectral Calibration of Hyperspectral Images: Method, Dataset and Benchmark
- CVPR 2025BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering
- CVPR 2025BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
- CVPR 2025Birth and Death of a Rose
- CVPR 2025Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport
- CVPR 2025Camera Resection from Known Line Pencils and a Radially Distorted Scanline
- CVPR 2025Camouflage Anything: Learning to Hide using Controlled Out-painting and Representation Engineering
- CVPR 2025CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching
- CVPR 2025Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss
- CVPR 2025CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
- CVPR 2025DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
- CVPR 2025Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
- CVPR 2025DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
- CVPR 2025DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting
- CVPR 2025DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences
- CVPR 2025DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
- CVPR 2025DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
- CVPR 2025Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
- CVPR 2025Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
- CVPR 2025Do Your Best and Get Enough Rest for Continual Learning
- CVPR 2025Doppelgangers and Adversarial Vulnerability
- CVPR 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
- CVPR 2025DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
- CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
- CVPR 2025EBS-EKF: Accurate and High Frequency Event-based Star Tracking
- CVPR 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
- CVPR 2025Estimating Body and Hand Motion in an Ego-sensed World
- CVPR 2025EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera
- CVPR 2025Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
- CVPR 2025Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
- CVPR 2025Flexible Group Count Enables Hassle-Free Structured Pruning
- CVPR 2025Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution
- CVPR 2025GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction
- CVPR 2025GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
- CVPR 2025Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查社会层面 · accountability transparency and interpretability在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "social-accountability-transparency-and-interpretability"}
常见问题
- 2023–2026 年四大会议一共有多少篇社会层面 · accountability transparency and interpretability论文？
- 共 3,411 篇，按年份分别是 2023 年 301 篇、2024 年 589 篇、2025 年 1,164 篇、2026 年 1,357 篇。
- NeurIPS 2026 有多少篇社会层面 · accountability transparency and interpretability论文？
- NeurIPS 2026 有 416 篇社会层面 · accountability transparency and interpretability论文，上一届是 522 篇。
- ICLR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？
- ICLR 2026 有 292 篇社会层面 · accountability transparency and interpretability论文，上一届是 211 篇。
- ICML 2026 有多少篇社会层面 · accountability transparency and interpretability论文？
- ICML 2026 有 541 篇社会层面 · accountability transparency and interpretability论文，上一届是 337 篇。
- CVPR 2026 有多少篇社会层面 · accountability transparency and interpretability论文？
- CVPR 2026 有 108 篇社会层面 · accountability transparency and interpretability论文，上一届是 94 篇。
- 哪个会议的社会层面 · accountability transparency and interpretability论文最多？
- NeurIPS，2023–2026 年共 1,275 篇。