Paper List

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Summary of Consistent Joint Decision-making with Heterogeneous Learning Models, by Hossein Rajaby Faghihi and Parisa Kordjamshidi
Summary of Differentially Private High Dimensional Bandits, by Apurv Shukla
Summary of Sub-play: Adversarial Policies Against Partially Observed Multi-agent Reinforcement Learning Systems, by Oubo Ma et al.
Summary of Online Feature Updates Improve Online (generalized) Label Shift Adaptation, by Ruihan Wu and Siddhartha Datta and Yi Su and Dheeraj Baby and Yu-xiang Wang and Kilian Q. Weinberger
Summary of Single-gpu Gnn Systems: Traps and Pitfalls, by Yidong Gong et al.
Summary of Path Signatures and Graph Neural Networks For Slow Earthquake Analysis: Better Together?, by Hans Riess et al.
Summary of Constrained Synthesis with Projected Diffusion Models, by Jacob K Christopher et al.
Summary of Distinguishing the Knowable From the Unknowable with Language Models, by Gustaf Ahdritz et al.
Summary of Skippredict: When to Invest in Predictions For Scheduling, by Rana Shahout et al.
Summary of Diffusion World Model: Future Modeling Beyond Step-by-step Rollout For Offline Reinforcement Learning, by Zihan Ding et al.
Summary of Revisiting the Dataset Bias Problem From a Statistical Perspective, by Kien Do et al.
Summary of Continual Domain Adversarial Adaptation Via Double-head Discriminators, by Yan Shen and Zhanghexuan Ji and Chunwei Ma and Mingchen Gao
Summary of Deconstructing the Goldilocks Zone Of Neural Network Initialization, by Artem Vysogorets et al.
Summary of Information-theoretic Active Correlation Clustering, by Linus Aronsson et al.
Summary of A Reinforcement Learning Approach For Dynamic Rebalancing in Bike-sharing System, by Jiaqi Liang et al.
Summary of Identifying Reasons For Contraceptive Switching From Real-world Data Using Large Language Models, by Brenda Y. Miao et al.
Summary of Assessing the Impact Of Distribution Shift on Reinforcement Learning Performance, by Ted Fujimoto and Joshua Suetterlein and Samrat Chatterjee and Auroop Ganguly
Summary of Rap: Retrieval-augmented Planning with Contextual Memory For Multimodal Llm Agents, by Tomoyuki Kagaya et al.
Summary of Bayesian Vector Autoregression with Factorised Granger-causal Graphs, by He Zhao and Vassili Kitsios and Terence J. O’kane and Edwin V. Bonilla
Summary of Neural Network Approximators For Marginal Map in Probabilistic Circuits, by Shivvrat Arya et al.
Summary of Convex Relaxations Of Relu Neural Networks Approximate Global Optima in Polynomial Time, by Sungyoon Kim et al.
Summary of Disparate Impact on Group Accuracy Of Linearization For Private Inference, by Saswat Das et al.
Summary of Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation, by Anton Lavrouk et al.
Summary of Decentralized Sporadic Federated Learning: a Unified Algorithmic Framework with Convergence Guarantees, by Shahryar Zehtabi et al.
Summary of Stochastic Modified Flows For Riemannian Stochastic Gradient Descent, by Benjamin Gess et al.
Summary of Exact Tensor Completion Powered by Slim Transforms, By Li Ge et al.
Summary of The Information Of Large Language Model Geometry, by Zhiquan Tan et al.
Summary of Rethinking the Role Of Proxy Rewards in Language Model Alignment, by Sungdong Kim and Minjoon Seo
Summary of Estimating Epistemic and Aleatoric Uncertainty with a Single Model, by Matthew A. Chan et al.
Summary of Trillion Parameter Ai Serving Infrastructure For Scientific Discovery: a Survey and Vision, by Nathaniel Hudson et al.
Summary of Dred: Zero-shot Transfer in Reinforcement Learning Via Data-regularised Environment Design, by Samuel Garcin et al.
Summary of Early Prediction Of Onset Of Sepsis in Clinical Setting, by Fahim Mohammad et al.
Summary of Attention Meets Post-hoc Interpretability: a Mathematical Perspective, by Gianluigi Lopardo et al.
Summary of Partially Stochastic Infinitely Deep Bayesian Neural Networks, by Sergio Calvo-ordonez et al.
Summary of Can We Remove the Square-root in Adaptive Gradient Methods? a Second-order Perspective, by Wu Lin et al.
Summary of How Does Unlabeled Data Provably Help Out-of-distribution Detection?, by Xuefeng Du et al.
Summary of Neural Networks For Abstraction and Reasoning: Towards Broad Generalization in Machines, by Mikel Bober-irizar et al.
Summary of Evaluating the Factuality Of Zero-shot Summarizers Across Varied Domains, by Sanjana Ramprasad et al.
Summary of Deep Reinforcement Learning For Picker Routing Problem in Warehousing, by George Dunn et al.
Summary of Consistent Validation For Predictive Methods in Spatial Settings, by David R. Burt et al.
Summary of Fairness and Privacy Guarantees in Federated Contextual Bandits, by Sambhav Solanki et al.
Summary of Regulation Games For Trustworthy Machine Learning, by Mohammad Yaghini et al.
Summary of Hamlet: Graph Transformer Neural Operator For Partial Differential Equations, by Andrey Bryutkin et al.
Summary of A Theoretical Framework For Partially Observed Reward-states in Rlhf, by Chinmaya Kausik et al.
Summary of Training-free Consistent Text-to-image Generation, by Yoad Tewel et al.
Summary of Make Every Move Count: Llm-based High-quality Rtl Code Generation Using Mcts, by Matthew Delorenzo et al.
Summary of Instancediffusion: Instance-level Control For Image Generation, by Xudong Wang et al.
Summary of Zero-shot Object-level Ood Detection with Context-aware Inpainting, by Quang-huy Nguyen et al.
Summary of Ginger: An Efficient Curvature Approximation with Linear Complexity For General Neural Networks, by Yongchang Hao et al.
Summary of Flora: Low-rank Adapters Are Secretly Gradient Compressors, by Yongchang Hao et al.
Summary of Guard: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence Of Large Language Models, by Haibo Jin et al.
Summary of Deepseekmath: Pushing the Limits Of Mathematical Reasoning in Open Language Models, by Zhihong Shao et al.
Summary of Nevermind: Instruction Override and Moderation in Large Language Models, by Edward Kim
Summary of Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?, by Qiyao Liang et al.
Summary of Aoneus: a Neural Rendering Framework For Acoustic-optical Sensor Fusion, by Mohamad Qadri et al.
Summary of Test-time Adaptation For Depth Completion, by Hyoungseob Park et al.
Summary of Hassod: Hierarchical Adaptive Self-supervised Object Detection, by Shengcao Cao et al.
Summary of Specformer: Guarding Vision Transformer Robustness Via Maximum Singular Value Penalization, by Xixu Hu et al.
Summary of Connect Later: Improving Fine-tuning For Robustness with Targeted Augmentations, by Helen Qu et al.
Summary of Slot Structured World Models, by Jonathan Collu et al.
Summary of Survival and Grade Of the Glioma Prediction Using Transfer Learning, by Santiago Valbuena Rubio et al.
Summary of Delivery Optimized Discovery in Behavioral User Segmentation Under Budget Constraint, by Harshita Chopra et al.
Summary of Challenges in Variable Importance Ranking Under Correlation, by Annie Liang and Thomas Jemielita and Andy Liaw and Vladimir Svetnik and Lingkang Huang and Richard Baumgartner and Jason M. Klusowski
Summary of Guidance with Spherical Gaussian Constraint For Conditional Diffusion, by Lingxiao Yang et al.
Summary of Organic or Diffused: Can We Distinguish Human Art From Ai-generated Images?, by Anna Yoo Jeong Ha et al.
Summary of Bge M3-embedding: Multi-lingual, Multi-functionality, Multi-granularity Text Embeddings Through Self-knowledge Distillation, by Jianlv Chen et al.
Summary of The Benefits Of Reusing Batches For Gradient Descent in Two-layer Networks: Breaking the Curse Of Information and Leap Exponents, by Yatin Dandi et al.
Summary of Fusemoe: Mixture-of-experts Transformers For Fleximodal Fusion, by Xing Han et al.
Summary of Explicit Flow Matching: on the Theory Of Flow Matching Algorithms with Applications, by Gleb Ryzhakov et al.
Summary of Iguane: a 3d Generalizable Cyclegan For Multicenter Harmonization Of Brain Mr Images, by Vincent Roca et al.
Summary of Froster: Frozen Clip Is a Strong Teacher For Open-vocabulary Action Recognition, by Xiaohu Huang et al.
Summary of Activeanno3d — An Active Learning Framework For Multi-modal 3d Object Detection, by Ahmed Ghita et al.
Summary of Pinn-bo: a Black-box Optimization Algorithm Using Physics-informed Neural Networks, by Dat Phan-trong et al.
Summary of Clip Can Understand Depth, by Dunam Kim et al.
Summary of Skill Set Optimization: Reinforcing Language Model Behavior Via Transferable Skills, by Kolby Nottingham et al.
Summary of Minimum Description Length and Generalization Guarantees For Representation Learning, by Milad Sefidgaran et al.
Summary of Fair Active Ranking From Pairwise Preferences, by Sruthi Gorantla and Sara Ahmadian
Summary of Decision-focused Learning with Directional Gradients, by Michael Huang et al.
Summary of Mobilitygpt: Enhanced Human Mobility Modeling with a Gpt Model, by Ammar Haydari et al.
Summary of Multiclass Classification Procedure For Detecting Attacks on Mqtt-iot Protocol, by Hector Alaiz-moreton (1) et al.
Summary of Understanding Reasoning Ability Of Language Models From the Perspective Of Reasoning Paths Aggregation, by Xinyi Wang et al.
Summary of Uncertainty Of Thoughts: Uncertainty-aware Planning Enhances Information Seeking in Large Language Models, by Zhiyuan Hu et al.
Summary of Deal, or No Deal (or Who Knows)? Forecasting Uncertainty in Conversations Using Large Language Models, by Anthony Sicilia et al.
Summary of Discovering Interpretable Models Of Scientific Image Data with Deep Learning, by Christopher J. Soelistyo and Alan R. Lowe
Summary of How Free Is Parameter-free Stochastic Optimization?, by Amit Attia et al.
Summary of Good Teachers Explain: Explanation-enhanced Knowledge Distillation, by Amin Parchami-araghi et al.
Summary of Constrained Decoding For Cross-lingual Label Projection, by Duong Minh Le et al.
Summary of Sociolinguistically Informed Interpretability: a Case Study on Hinglish Emotion Classification, by Kushal Tatariya et al.
Summary of Just Cluster It: An Approach For Exploration in High-dimensions Using Clustering and Pre-trained Representations, by Stefan Sylvius Wagner and Stefan Harmeling
Summary of Enhancing Neural Subset Selection: Integrating Background Information Into Set Representations, by Binghui Xie et al.
Summary of Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays, by Qingyuan Wu et al.
Summary of Less Is Ken: a Universal and Simple Non-parametric Pruning Algorithm For Large Language Models, by Michele Mastromattei et al.
Summary of A Multi-step Loss Function For Robust Learning Of the Dynamics in Model-based Reinforcement Learning, by Abdelhakim Benechehab et al.
Summary of Is Mamba Capable Of In-context Learning?, by Riccardo Grazzi et al.
Summary of Optimal and Near-optimal Adaptive Vector Quantization, by Ran Ben-basat et al.
Summary of A Random Matrix Approach to Low-multilinear-rank Tensor Approximation, by Hugo Lebeau et al.
Summary of Homograph Attacks on Maghreb Sentiment Analyzers, by Fatima Zahra Qachfar et al.
Summary of Beyond the Black Box: a Statistical Model For Llm Reasoning and Inference, by Siddhartha Dalal and Vishal Misra
Summary of Cidar: Culturally Relevant Instruction Dataset For Arabic, by Zaid Alyafeai et al.
Summary of How Good Is a Single Basin?, by Kai Lion et al.