Paper List

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Summary of Utility-directed Conformal Prediction: a Decision-aware Framework For Actionable Uncertainty Quantification, by Santiago Cortes-gomez et al.
Summary of Explainable Earth Surface Forecasting Under Extreme Events, by Oscar J. Pellicer-valero et al.
Summary of Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-context, by Spencer Frei and Gal Vardi
Summary of Openmathinstruct-2: Accelerating Ai For Math with Massive Open-source Instruction Data, by Shubham Toshniwal et al.
Summary of Truncated Kernel Stochastic Gradient Descent on Spheres, by Jinhui Bai et al.
Summary of Coordinate-based Neural Representation Enabling Zero-shot Learning For 3d Multiparametric Quantitative Mri, by Guoyan Lao et al.
Summary of Fake It Until You Break It: on the Adversarial Robustness Of Ai-generated Image Detectors, by Sina Mavali et al.
Summary of Learning-augmented Robust Algorithmic Recourse, by Kshitij Kayastha et al.
Summary of Dynfrs: An Efficient Framework For Machine Unlearning in Random Forest, by Shurong Wang et al.
Summary of Entp: Encoder-only Next Token Prediction, by Ethan Ewer et al.
Summary of Upcycling Instruction Tuning From Dense to Mixture-of-experts Via Parameter Merging, by Tingfeng Hui et al.
Summary of Automated Red Teaming with Goat: the Generative Offensive Agent Tester, by Maya Pavlova et al.
Summary of Drupi: Dataset Reduction Using Privileged Information, by Shaobo Wang et al.
Summary of On Using Certified Training Towards Empirical Robustness, by Alessandro De Palma et al.
Summary of Does Graph Prompt Work? a Data Operation Perspective with Theoretical Analysis, by Qunzhong Wang et al.
Summary of Fira: Can We Achieve Full-rank Training Of Llms Under Low-rank Constraint?, by Xi Chen et al.
Summary of Moral Alignment For Llm Agents, by Elizaveta Tennant et al.
Summary of On the Adaptation Of Unlimiformer For Decoder-only Transformers, by Kian Ahrabian et al.
Summary of Stable Offline Value Function Learning with Bisimulation-based Representations, by Brahma S. Pavse et al.
Summary of Shapiq: Shapley Interactions For Machine Learning, by Maximilian Muschalik et al.
Summary of Conformal Generative Modeling with Improved Sample Efficiency Through Sequential Greedy Filtering, by Klaus-rudolf Kladny et al.
Summary of Extending Contextual Self-modulation: Meta-learning Across Modalities, Task Dimensionalities, and Data Regimes, by Roussel Desmond Nzoyem et al.
Summary of Sparse Covariance Neural Networks, by Andrea Cavallo et al.
Summary of Ensembles Provably Learn Equivariance Through Data Augmentation, by Oskar Nordenfors et al.
Summary of Circuit Compositions: Exploring Modular Structures in Transformer-based Language Models, by Philipp Mondorf et al.
Summary of Geometric Signatures Of Compositionality Across a Language Model’s Lifetime, by Jin Hwa Lee et al.
Summary of Verbalized Graph Representation Learning: a Fully Interpretable Graph Model Based on Large Language Models Throughout the Entire Process, by Xingyu Ji et al.
Summary of Reducing Variance in Meta-learning Via Laplace Approximation For Regression Tasks, by Alfredo Reichlin et al.
Summary of Selective Aggregation For Low-rank Adaptation in Federated Learning, by Pengxin Guo et al.
Summary of From Reward Shaping to Q-shaping: Achieving Unbiased Learning with Llm-guided Knowledge, by Xiefeng Wu
Summary of Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales, by Joakim Wallmark et al.
Summary of One Wave to Explain Them All: a Unifying Perspective on Post-hoc Explainability, by Gabriel Kasmi and Amandine Brunetto and Thomas Fel and Jayneel Parekh
Summary of Learnable Expansion Of Graph Operators For Multi-modal Feature Fusion, by Dexuan Ding et al.
Summary of Dlp-lora: Efficient Task-specific Lora Fusion with a Dynamic, Lightweight Plugin For Large Language Models, by Yuxuan Zhang et al.
Summary of Foldable Supernets: Scalable Merging Of Transformers with Different Initializations and Tasks, by Edan Kinderman et al.
Summary of Infinipot: Infinite Context Processing on Memory-constrained Llms, by Minsoo Kim et al.
Summary of Harmaug: Effective Data Augmentation For Knowledge Distillation Of Safety Guard Models, by Seanie Lee et al.
Summary of Bounds on Lp Errors in Density Ratio Estimation Via F-divergence Loss Functions, by Yoshiaki Kitazawa
Summary of Tivat: a Transformer with a Single Unified Mechanism For Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting, by Junwoo Ha et al.
Summary of Attention Layers Provably Solve Single-location Regression, by Pierre Marion et al.
Summary of Edge-preserving Noise For Diffusion Models, by Jente Vandersanden et al.
Summary of In-context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks, By Dingzirui Wang et al.
Summary of Integrative Decoding: Improve Factuality Via Implicit Self-consistency, by Yi Cheng et al.
Summary of Mitigating Copy Bias in In-context Learning Through Neuron Pruning, by Ameen Ali et al.
Summary of Speculative Coreset Selection For Task-specific Fine-tuning, by Xiaoyu Zhang et al.
Summary of Towards a Law Of Iterated Expectations For Heuristic Estimators, by Paul Christiano et al.
Summary of Revisiting Hierarchical Text Classification: Inference and Metrics, by Roman Plaud et al.
Summary of Rethinking Gnn Expressive Power Research in the Machine Learning Community: Limitations, Issues, and Corrections, by Guanyu Cui et al.
Summary of Sampling From Energy-based Policies Using Diffusion, by Vineet Jain et al.
Summary of Fair Class-incremental Learning Using Sample Weighting, by Jaeyoung Park et al.
Summary of Forte : Finding Outliers with Representation Typicality Estimation, by Debargha Ganguly et al.
Summary of Efficient Learning Of Pomdps with Known Observation Model in Average-reward Setting, by Alessio Russo et al.
Summary of Layer Swapping For Zero-shot Cross-lingual Transfer in Large Language Models, by Lucas Bandarkar et al.
Summary of Phympgn: Physics-encoded Message Passing Graph Network For Spatiotemporal Pde Systems, by Bocheng Zeng et al.
Summary of Flashmask: Efficient and Rich Mask Extension Of Flashattention, by Guoxia Wang et al.
Summary of Towards Dynamic Graph Neural Networks with Provably High-order Expressive Power, by Zhe Wang et al.
Summary of Flame: Adaptive and Reactive Concept Drift Mitigation For Federated Learning Deployments, by Ioannis Mavromatis and Stefano De Feo and Aftab Khan
Summary of On Expressive Power Of Looped Transformers: Theoretical Analysis and Enhancement Via Timestep Encoding, by Kevin Xu and Issei Sato
Summary of The Labyrinth Of Links: Navigating the Associative Maze Of Multi-modal Llms, by Hong Li et al.
Summary of Fair4free: Generating High-fidelity Fair Synthetic Samples Using Data Free Distillation, by Md Fahim Sikder et al.
Summary of The Great Contradiction Showdown: How Jailbreak and Stealth Wrestle in Vision-language Models?, by Ching-chia Kao et al.
Summary of Scalable Reinforcement Learning-based Neural Architecture Search, by Amber Cassimon et al.
Summary of Adaptive Teachers For Amortized Samplers, by Minsu Kim et al.
Summary of Text2pde: Latent Diffusion Models For Accessible Physics Simulation, by Anthony Zhou et al.
Summary of A Deep Learning Approach For Imbalanced Tabular Data in Advertiser Prospecting: a Case Of Direct Mail Prospecting, by Sadegh Farhang et al.
Summary of Efficient Pac Learning Of Halfspaces with Constant Malicious Noise Rate, by Jie Shen
Summary of [re] Network Deconvolution, by Rochana R. Obadage et al.
Summary of Stochastic Gradient Descent with Adaptive Data, by Ethan Che and Jing Dong and Xin T. Tong
Summary of Debiasing Federated Learning with Correlated Client Participation, by Zhenyu Sun et al.
Summary of Were Rnns All We Needed?, by Leo Feng et al.
Summary of Absolute State-wise Constrained Policy Optimization: High-probability State-wise Constraints Satisfaction, by Weiye Zhao et al.
Summary of Induced Covariance For Causal Discovery in Linear Sparse Structures, by Saeed Mohseni-sehdeh et al.
Summary of See Me and Believe Me: Causality and Intersectionality in Testimonial Injustice in Healthcare, by Kenya S. Andrews et al.
Summary of Equivariant Score-based Generative Models Provably Learn Distributions with Symmetries Efficiently, by Ziyu Chen et al.
Summary of Helpsteer2-preference: Complementing Ratings with Preferences, by Zhilin Wang et al.
Summary of Dual Approximation Policy Optimization, by Zhihan Xiong et al.
Summary of Revisiting Optimism and Model Complexity in the Wake Of Overparameterized Machine Learning, by Pratik Patil et al.
Summary of Improving Fine-grained Control Via Aggregation Of Multiple Diffusion Models, by Conghan Yue et al.
Summary of Transformers Handle Endogeneity in In-context Linear Regression, by Haodong Liang et al.
Summary of Deep Unlearn: Benchmarking Machine Unlearning, by Xavier F. Cadet et al.
Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling Ai’s Potential Through Tools, Techniques, and Applications, by Pohsun Feng et al.
Summary of Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models, by Can Demircan et al.
Summary of Uncertainty-aware Human Mobility Modeling and Anomaly Detection, by Haomin Wen et al.
Summary of Tackling the Accuracy-interpretability Trade-off in a Hierarchy Of Machine Learning Models For the Prediction Of Extreme Heatwaves, by Alessandro Lovo et al.
Summary of Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with An Integrated Statistical and Neural Framework, by Minxuan Duan et al.
Summary of Cktgen: Specification-conditioned Analog Circuit Generation, by Yuxuan Hou et al.
Summary of Investigating the Synergistic Effects Of Dropout and Residual Connections on Language Model Training, by Qingyang Li and Weimao Ke
Summary of Don’t Stop Me Now: Embedding Based Scheduling For Llms, by Rana Shahout et al.
Summary of Gptreeo: An R Package For Continual Regression with Dividing Local Gaussian Processes, by Timo Braun et al.
Summary of Convergent Privacy Loss Of Noisy-sgd Without Convexity and Smoothness, by Eli Chien et al.
Summary of Spherical Analysis Of Learning Nonlinear Functionals, by Zhenyu Yang et al.
Summary of Structure-preserving Operator Learning, by Nacime Bouziani et al.
Summary of Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-time, by Chiao-an Yang et al.
Summary of An Introduction to Deep Survival Analysis Models For Predicting Time-to-event Outcomes, by George H. Chen
Summary of Efficient and Private Marginal Reconstruction with Local Non-negativity, by Brett Mullins et al.
Summary of Statistical Inference on Black-box Generative Models in the Data Kernel Perspective Space, by Hayden Helm and Aranyak Acharyya and Brandon Duderstadt and Youngser Park and Carey E. Priebe
Summary of Exploiting Structure in Offline Multi-agent Rl: the Benefits Of Low Interaction Rank, by Wenhao Zhan et al.
Summary of Almost Free: Self-concordance in Natural Exponential Families and An Application to Bandits, by Shuai Liu et al.
Summary of Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay For Finetuning Vision Transformers, by Zeyu Michael Li
Summary of Ngpt: Normalized Transformer with Representation Learning on the Hypersphere, by Ilya Loshchilov et al.