paper-daily

CV Papers Daily

Updated on 2025.02.25

spurious correlation

Date Title Authors PDF Code Comments
2025-2-24 Unveiling Institution-Specific Bias in Pathology Foundation Models: Detriments, Causes, and Potential Solutions Weiping Linet.al paper - -
2025-2-23 Multilevel Localized Ensemble Kalman Bucy Filters Neil K. Chadaet.al paper -
<summary>detail</summary>arXiv admin note: substantial text overlap with arXiv:2108
2025-2-23 Are Sparse Autoencoders Useful? A Case Study in Sparse Probing Subhash Kantamneniet.al paper - -
2025-2-23 Certified Causal Defense with Generalizable Robustness Yiran Qiaoet.al paper -
<summary>detail</summary>Submitted to AAAI
2025-2-19 Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixiet.al paper -
<summary>detail</summary>published in ICLR 2024
2025-2-19 Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition Xinyu Tianet.al paper -
<summary>detail</summary>ICLR2025
2025-2-17 DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wanget.al paper code -
2025-2-17 AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding Xiwei Xuanet.al paper - -
2025-2-17 CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling Taneesh Guptaet.al paper - -
2025-2-17 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction Yuncheng Huaet.al paper code -
2025-2-16 Diffusing DeBias: a Recipe for Turning a Bug into a Feature Massimiliano Ciranniet.al paper -
<summary>detail</summary>29 Pages
2025-2-13 Elastic Representation: Mitigating Spurious Correlations for Group Robustness Tao Wenet.al paper -
<summary>detail</summary>AISTATS 2025
2025-2-13 WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraruet.al paper - -
2025-2-13 A Differentiable Rank-Based Objective For Better Feature Learning Krunoslav Lehman Pavasovicet.al paper - -
2025-2-13 Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhanget.al paper -
<summary>detail</summary>ICML 2024

spurious

Date Title Authors PDF Code Comments
2025-2-24 An ocean front detection and tracking algorithm Yishuo Wanget.al paper - -
2025-2-21 Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process Wooseong Yanget.al paper code -
2025-2-21 ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model Zhongyi Zhouet.al paper - -
2025-2-17 Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps Ross Gardineret.al paper - -

spurious*

Date Title Authors PDF Code Comments
2025-2-12 Interpreting the Second-Order Effects of Neurons in CLIP Yossi Gandelsmanet.al paper code
<summary>detail</summary>project page: https://yossigandelsman
2025-1-30 Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyathet.al paper code
<summary>detail</summary>ICLR 2025
2025-1-23 Post-hoc Spurious Correlation Neutralization with Single-Weight Fictitious Class Unlearning Shahin Hakemiet.al paper - -
2024-12-23 Symbolic Infinite-State LTL Synthesis Shaun Azzopardiet.al paper - -
2024-12-11 Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations Michael Zhanget.al paper - -
2024-11-28 The Multiple Dimensions of Spuriousness in Machine Learning Samuel J. Bellet.al paper - -
2024-10-20 Bayesian Concept Bottleneck Models with LLM Priors Jean Fenget.al paper - -
2024-10-17 Learning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection Chuhong Maiet.al paper -
<summary>detail</summary>NeurIPS 2024 Table Representation Learning workshop
2024-10-13 Towards Mitigating more Challenging Spurious Correlations: A Benchmark & New Datasets Siddharth Joshiet.al paper code
<summary>detail</summary>Package: https://github
2024-9-26 Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlengaet.al paper -
<summary>detail</summary>the 18th European Conference on Computer Vision (ECCV 2024) as an Oral presentation
2024-9-19 Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyüket.al paper - -
2024-9-17 Semformer: Transformer Language Models with Semantic Planning Yongjing Yinet.al paper -
<summary>detail</summary>Journal ref:EMNLP2024
2024-9-6 Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajanet.al paper - -

visual counterfactual explanation

Date Title Authors PDF Code Comments
2025-2-5 Global Counterfactual Directions Bartlomiej Sobieskiet.al paper -
<summary>detail</summary>ECCV 2024
2025-2-3 GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablockiet.al paper code -
2025-1-12 Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khanet.al paper -
<summary>detail</summary>Journal ref:Knowledge-Based Systems
2024-12-10 Representation Learning of Multivariate Time Series using Attention and Adversarial Training Leon Scharwächteret.al paper - -
2024-11-25 Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks Rui Zuoet.al paper - -
2024-10-29 CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbiet.al paper code
<summary>detail</summary>ACM Class:I
2024-10-16 Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieskiet.al paper -
<summary>detail</summary>Preprint
2024-10-8 Unsupervised Model Diagnosis Yinong Oliver Wanget.al paper - -
2024-10-1 Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atadet.al paper code
<summary>detail</summary>Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal
2024-9-19 The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoffet.al paper -
<summary>detail</summary>Accepted paper at the ECCV 2024
2024-9-10 Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems Yongsu Ahnet.al paper - -
2024-9-9 Local Universal Explainer (LUX) – a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobeket.al paper - -
2024-7-20 Structure Your Data: Towards Semantic Graph Counterfactuals Angeliki Dimitriouet.al paper -
<summary>detail</summary>Journal ref:ICML 2024
2024-7-19 Contrastive Learning with Counterfactual Explanations for Radiology Report Generation Mingjie Liet.al paper -
<summary>detail</summary>ECCV 2024
2024-7-12 DiG-IN: Diffusion Guidance for Investigating Networks – Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations Maximilian Augustinet.al paper -
<summary>detail</summary>CVPR 2024

counterfact

Date Title Authors PDF Code Comments
2025-2-19 CoME: An Unlearning-based Approach to Conflict-free Model Editing Dahyun Junget.al paper -
<summary>detail</summary>NAACL 2025 main conference
2025-2-19 BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning Ercong Nieet.al paper - -
2025-2-16 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Liet.al paper code
<summary>detail</summary>AAAI25
2024-12-22 A Reality Check on Context Utilisation for Retrieval-Augmented Generation Lovisa Hagströmet.al paper - -
2024-12-4 Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guoet.al paper - -
2024-10-11 Untying the Reversal Curse via Bidirectional Language Model Editing Jun-Yu Maet.al paper - -
2024-10-11 Keys to Robust Edits: from Theoretical Insights to Practical Advances Jianhao Yanet.al paper -
<summary>detail</summary>Work in progress
2024-6-3 Model Editing by Standard Fine-Tuning Govind Gangadharet.al paper -
<summary>detail</summary>Findings of ACL 2024
2024-5-11 Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts Yuchen Caiet.al paper - -
2024-3-21 WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models Hichem Ammar Khodjaet.al paper -
<summary>detail</summary>Accepted for publication at LREC-COLING 2024
2024-3-11 PMET: Precise Model Editing in a Transformer Xiaopeng Liet.al paper code
<summary>detail</summary>AAAI24
2024-3-6 Probing the Robustness of Time-series Forecasting Models with CounterfacTS Håkon Hanisch Kjærnliet.al paper -
<summary>detail</summary>Submitted
2024-2-17 EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries Jiateng Liuet.al paper - -

counterfact*

Date Title Authors PDF Code Comments
2025-2-24 All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty Kacper Sokolet.al paper - -
2025-2-23 GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models Kunsheng Tanget.al paper code
<summary>detail</summary>Accepted by ACM CCS 2024
2025-2-22 Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation Trung Nguyenet.al paper - -
2025-2-22 Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations Chunyang Liet.al paper code -
2025-2-22 Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations Jin Liet.al paper code
<summary>detail</summary>Accepted by WWW 2025
2025-2-21 Counterfactual Learning of Stochastic Policies with Continuous Actions Houssam Zenatiet.al paper - -
2025-2-20 Towards counterfactual fairness through auxiliary variables Bowei Tianet.al paper code
<summary>detail</summary>arXiv admin note: text overlap with arXiv:2307
2025-2-20 A novel approach to the relationships between data features – based on comprehensive examination of mathematical, technological, and causal methodology JaeHong Kimet.al paper - -
2025-2-20 Counterfactual Concept Bottleneck Models Gabriele Dominiciet.al paper - -
2025-2-19 Population Dynamics Control with Partial Observations Zhou Luet.al paper - -
2025-2-19 Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images Shengguang Wuet.al paper code
<summary>detail</summary>Project Website: https://s-vco
2025-2-19 RobustX: Robust Counterfactual Explanations Made Easy Junqi Jianget.al paper - -
2025-2-19 Robust Counterfactual Inference in Markov Decision Processes Jessica Lallyet.al paper - -

debias learning

Date Title Authors PDF Code Comments
2025-2-11 Limits to scalable evaluation at the frontier: LLM as Judge won’t beat twice the data Florian E. Dorneret.al paper -
<summary>detail</summary>ICLR 2025
2025-2-5 Invariant debiasing learning for recommendation via biased imputation Ting Baiet.al paper code
<summary>detail</summary>Journal ref:Information Processing & Management
2025-2-3 GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models Jonathan Drechselet.al paper - -
2025-1-30 Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling Dan M. Klugeret.al paper - -
2025-1-29 Collapsed Language Models Promote Fairness Jingxuan Xuet.al paper code
<summary>detail</summary>ICLR 2025
2025-1-22 SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP Yusuke Hirotaet.al paper - -
2025-1-6 Large Language Models for Market Research: A Data-augmentation Approach Mengxin Wanget.al paper -
<summary>detail</summary>MSC Class:68T50
2024-12-31 Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabiet.al paper - -
2024-12-16 Unleashing the Potential of Model Bias for Generalized Category Discovery Wenbin Anet.al paper code
<summary>detail</summary>Accepted by AAAI 2025
2024-11-20 Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications Ankita Agarwalet.al paper - -
2024-11-4 Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Liet.al paper -
<summary>detail</summary>This manuscript was initially submitted for review in August 2023
2024-10-31 Debiasing Alternative Data for Credit Underwriting Using Causal Inference Chris Lamet.al paper - -
2024-10-19 CosFairNet:A Parameter-Space based Approach for Bias Free Learning Rajeev Ranjan Dwivediet.al paper code -
2024-7-28 Multitask Learning and Bandits via Robust Statistics Kan Xuet.al paper - -

debiasing

Date Title Authors PDF Code Comments
2025-2-24 Mitigating Bias in RAG: Controlling the Embedder Taeyoun Kimet.al paper - -
2025-2-24 BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models Hanjun Luoet.al paper code
<summary>detail</summary>arXiv admin note: substantial text overlap with arXiv:2405
2025-2-24 FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models Hanjun Luoet.al paper -
<summary>detail</summary>Accepted by ICML DMLR 2024
2025-2-24 SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models Kevin Milleret.al paper - -
2025-2-19 Investigating the Impact of LLM Personality on Cognitive Bias Manifestation in Automated Decision-Making Tasks Jiangen Heet.al paper - -
2025-2-19 Prediction-Powered Adaptive Shrinkage Estimation Sida Liet.al paper - -
2025-2-19 Statistical inference for high-dimensional convoluted rank regression Leheng Caiet.al paper - -
2025-2-18 Gradient Equilibrium in Online Learning: Theory and Applications Anastasios N. Angelopouloset.al paper code
<summary>detail</summary>Code available at https://github
2025-2-17 DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning Hongye Qiuet.al paper - -
2025-2-16 A Critical Review of Predominant Bias in Neural Networks Jiazhi Liet.al paper - -
2025-2-14 ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling Wei Chenget.al paper -
<summary>detail</summary>Work in progress
2025-2-14 Exploring the Camera Bias of Person Re-identification Myungseo Songet.al paper -
<summary>detail</summary>ICLR 2025 (Spotlight)
2025-2-13 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xuet.al paper code
<summary>detail</summary>Accepted in ICLR 2025

debias

Date Title Authors PDF Code Comments
2025-2-15 Option-ID Based Elimination For Multiple Choice Questions Zhenhao Zhuet.al paper - -
2025-1-8 Linear Multidimensional Regression with Interactive Fixed-Effects Hugo Freemanet.al paper - -
2024-12-26 Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint Yishan Hanet.al paper code -
2024-12-25 Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance Utsav Sadanaet.al paper - -
2024-12-7 TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers Juhyeon Parket.al paper code
<summary>detail</summary>WACV 2025

shortcut&block

Date Title Authors PDF Code Comments
2025-1-5 PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization Assaf Lahianyet.al paper -
<summary>detail</summary>Journal ref:in IEEE Access
2024-12-26 Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models Ziqiao Maet.al paper code
<summary>detail</summary>EMNLP 2023 (Findings)
2024-12-19 Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers Rui Dinget.al paper - -
2024-12-2 Demystify Mamba in Vision: A Linear Attention Perspective Dongchen Hanet.al paper code
<summary>detail</summary>NeurIPS 2024
2024-11-22 Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhanget.al paper code -
2024-10-23 Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jinget.al paper -
<summary>detail</summary>Accepted by CIKM’2024
2024-10-7 When does compositional structure yield compositional generalization? A kernel theory Samuel Lipplet.al paper - -
2024-10-3 Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction Amrit Diggavi Seshadriet.al paper - -
2024-9-16 Adaptive Large Language Models By Layerwise Attention Shortcuts Prateek Vermaet.al paper - -
2024-8-9 Integrating Loop Acceleration into Bounded Model Checking Florian Frohnet.al paper - -
2024-8-7 DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs Donghyun Kimet.al paper code
<summary>detail</summary>ECCV 2024
2024-7-1 DIR-BHRNet: A Lightweight Network for Real-time Vision-based Multi-person Pose Estimation on Smartphones Gongjin Lanet.al paper - -
2024-3-22 The latent cognitive structures of social networks Izabel Aguiaret.al paper -
<summary>detail</summary>Journal ref:Net Sci 12 (2024) 202-233
2024-2-23 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Maet.al paper - -
2024-2-9 Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules Haisheng Fuet.al paper code
<summary>detail</summary>IEEE Transactions On Image Processing

shortcut&mitigate

Date Title Authors PDF Code Comments
2025-2-24 REFA: Reference Free Alignment for multi-preference optimization Taneesh Guptaet.al paper - -
2025-2-17 Unhackable Temporal Rewarding for Scalable Video MLLMs En Yuet.al paper code
<summary>detail</summary>Accepted by ICLR2025
2025-2-16 Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolottiet.al paper - -
2025-2-12 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework Zhenjie Xuet.al paper code
<summary>detail</summary>This work has been accepted at The 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025)
2025-2-12 NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers Angel Yahir Loredo Lopezet.al paper - -
2025-2-11 Neural Flow Samplers with Shortcut Models Wuhao Chenet.al paper - -
2025-2-11 Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Liet.al paper code -
2025-1-31 ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition Joseph Fioresiet.al paper code
<summary>detail</summary>ICLR 2025
2025-1-28 Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework Longzhong Linet.al paper - -
2025-1-23 Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data Frederik Pahdeet.al paper - -
2025-1-9 Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation Daowan Penget.al paper -
<summary>detail</summary>ICME2024
2025-1-1 Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers Lukas Kuhnet.al paper - -
2024-12-19 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting Shuo Yanget.al paper -
<summary>detail</summary>Shuo and Bardh contributed equally
2024-12-16 PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension Kun Ouyanget.al paper - -
2024-12-6 Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation David Steinmannet.al paper - -

shortcut learning

Date Title Authors PDF Code Comments
2025-2-20 Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning Tian Xieet.al paper - -
2025-2-19 Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Kang Liaoet.al paper code
<summary>detail</summary>Accepted by ICLR2025
2025-2-19 FantasyID: Face Knowledge Enhanced ID-Preserving Video Generation Yunpeng Zhanget.al paper - -
2025-2-18 Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems Rodrigo Ximeneset.al paper -
<summary>detail</summary>To appear in the 2025 4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI
2025-2-15 On Disentangled Training for Nonlinear Transform in Learned Image Compression Han Liet.al paper -
<summary>detail</summary>Accepted by ICLR2025
2025-2-13 Shortcut Learning Susceptibility in Vision Classifiers Pirzada Suhailet.al paper - -
2025-2-13 Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning Lisa Wimmeret.al paper -
<summary>detail</summary>Preprint
2025-2-12 On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richardset.al paper - -
2025-2-12 Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models Anna Deringtonet.al paper - -
2025-2-9 CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Wenhao Zhenget.al paper code -

shortcut

Date Title Authors PDF Code Comments
2025-2-21 Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring Xuansheng Wuet.al paper -
<summary>detail</summary>Accepted by Technology
2025-2-19 Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above Nishant Balepuret.al paper -
<summary>detail</summary>In-progress preprint
2025-2-13 Shortcuts and Transitive-Closure Spanners Approximation Parinya Chalermsooket.al paper - -

fairness

Date Title Authors PDF Code Comments
2025-2-24 ESPnet-Codec: Comprehensive Training and Evaluation of Neural Codecs for Audio, Music, and Speech Jiatong Shiet.al paper -
<summary>detail</summary>Accepted by SLT
2025-2-24 Applying the FAIR Principles to computational workflows Sean R. Wilkinsonet.al paper - -
2025-2-24 Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support Anubha Mahajanet.al paper - -
2025-2-24 Optimal Salaries of Researchers with Motivational Emergence Eldar Knaret.al paper - -
2025-2-24 Order Fairness Evaluation of DAG-based ledgers Erwan Maheet.al paper - -
2025-2-24 A Novel Multiple Access Scheme for Heterogeneous Wireless Communications using Symmetry-aware Continual Deep Reinforcement Learning Hamidreza Mazandaraniet.al paper - -
2025-2-24 A Meta-Evaluation of Style and Attribute Transfer Metrics Amalie Brogaard Pauliet.al paper - -
2025-2-24 Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers Tobias Christian Nauenet.al paper -
<summary>detail</summary>v3: new models
2025-2-24 Revisited Convergence of Dolev et al BFS Spanning Tree Algorithm Karine Altisenet.al paper - -
2025-2-24 Achieving Fair PCA Using Joint Eigenvalue Decomposition Vidhi Rathoreet.al paper - -
2025-2-24 GuidedBench: Equipping Jailbreak Evaluation with Guidelines Ruixuan Huanget.al paper code
<summary>detail</summary>Homepage: https://sproutnan
2025-2-23 Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives Dilermando Queirozet.al paper - -
2025-2-23 Shapley Value-based Approach for Redistributing Revenue of Matchmaking of Private Transactions in Blockchains Rasheedet.al paper - -
2025-2-23 Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gonget.al paper code
<summary>detail</summary>ICLR 2025

machine unlearning

Date Title Authors PDF Code Comments
2025-2-24 When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebekeet.al paper - -
2025-2-24 MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models Jiahao Huoet.al paper - -
2025-2-24 Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning Linian Wanget.al paper code -
2025-2-23 Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions Sadia Qureshiet.al paper -
<summary>detail</summary>This work has been submitted to the IEEE for possible publication
2025-2-21 Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models Haoyu Tanget.al paper - -
2025-2-20 Instance-Level Difficulty: A Missing Perspective in Machine Unlearning Hammad Rizwanet.al paper - -
2025-2-20 Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models Haokun Chenet.al paper - -
2025-2-18 Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization Xiaohua Fenget.al paper -
<summary>detail</summary>Accepted by ICLR 2025
2025-2-18 Privacy Preservation through Practical Machine Unlearning Robert Dilworthet.al paper - -
2025-2-18 Textual Unlearning Gives a False Sense of Unlearning Jiacheng Duet.al paper - -
2025-2-17 SAFEERASER: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning Junkai Chenet.al paper - -
2025-2-17 Bridge the Gaps between Machine Unlearning and AI Regulation Bill Marinoet.al paper - -
2025-2-17 CLEAR: Character Unlearning in Textual and Visual Modalities Alexey Dontsovet.al paper code -
2025-2-17 ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning Manaar Alamet.al paper -
<summary>detail</summary>This paper is accepted at 62nd Design Automation Conference (DAC) 2025
2025-2-17 Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liuet.al paper -
<summary>detail</summary>Accepted by IEEE Open Journal of the Computer Society