Paper List

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Summary of A Generalization Bound For a Family Of Implicit Networks, by Samy Wu Fung and Benjamin Berkels
Summary of Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models, by Alain Andres and Javier Del Ser
Summary of Eventflow: Forecasting Continuous-time Event Data with Flow Matching, by Gavin Kerrigan et al.
Summary of Online Epsilon Net and Piercing Set For Geometric Concepts, by Sujoy Bhore et al.
Summary of A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research, by Seongjin Choi et al.
Summary of Reife: Re-evaluating Instruction-following Evaluation, by Yixin Liu et al.
Summary of Inattention: Linear Context Scaling For Transformers, by Joseph Eisner
Summary of Let’s Ask Gnn: Empowering Large Language Model For Graph In-context Learning, by Zhengyu Hu et al.
Summary of Retrieval-augmented Decision Transformer: External Memory For In-context Rl, by Thomas Schmied et al.
Summary of Moose-chem: Large Language Models For Rediscovering Unseen Chemistry Scientific Hypotheses, by Zonglin Yang et al.
Summary of Classification Of Buried Objects From Ground Penetrating Radar Images by Using Second Order Deep Learning Models, By Douba Jafuno et al.
Summary of Continual Learning: Less Forgetting, More Ood Generalization Via Adaptive Contrastive Replay, by Hossein Rezaei et al.
Summary of Neural Differential Appearance Equations, by Chen Liu et al.
Summary of Cheating Automatic Llm Benchmarks: Null Models Achieve High Win Rates, by Xiaosen Zheng et al.
Summary of Towards Interpreting Visual Information Processing in Vision-language Models, by Clement Neo et al.
Summary of Stuffed Mamba: State Collapse and State Capacity Of Rnn-based Long-context Modeling, by Yingfa Chen et al.
Summary of Graph Network Models to Detect Illicit Transactions in Block Chain, by Hrushyang Adloori et al.
Summary of Chase: Learning Convex Hull Adaptive Shift For Skeleton-based Multi-entity Action Recognition, by Yuhang Wen et al.
Summary of Instructg2i: Synthesizing Images From Multimodal Attributed Graphs, by Bowen Jin et al.
Summary of Quanda: An Interpretability Toolkit For Training Data Attribution Evaluation and Beyond, by Dilyara Bareeva et al.
Summary of Simplicity Prevails: Rethinking Negative Preference Optimization For Llm Unlearning, by Chongyu Fan et al.
Summary of Embodied Agent Interface: Benchmarking Llms For Embodied Decision Making, by Manling Li et al.
Summary of Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models, By Changyi Xiao et al.
Summary of Noise Is All You Need: Private Second-order Convergence Of Noisy Sgd, by Dmitrii Avdiukhin et al.
Summary of Average Certified Radius Is a Poor Metric For Randomized Smoothing, by Chenhao Sun et al.
Summary of Degree Distribution Based Spiking Graph Networks For Domain Adaptation, by Yingxu Wang et al.
Summary of Compositional Entailment Learning For Hyperbolic Vision-language Models, by Avik Pal et al.
Summary of Adversarial Vulnerability As a Consequence Of On-manifold Inseparibility, by Rajdeep Haldar et al.
Summary of Predicting Bitcoin Market Trends with Enhanced Technical Indicator Integration and Classification Models, by Abdelatif Hafid et al.
Summary of Representation Alignment For Generation: Training Diffusion Transformers Is Easier Than You Think, by Sihyun Yu et al.
Summary of Faithful Interpretation For Graph Neural Networks, by Lijie Hu et al.
Summary of Support Vector Boosting Machine (svbm): Enhancing Classification Performance with Adaboost and Residual Connections, by Junbo Jacob Lian
Summary of Dlgnet: Hyperedge Classification Through Directed Line Graphs For Chemical Reactions, by Stefano Fiorini et al.
Summary of Matcha: Mitigating Graph Structure Shifts with Test-time Adaptation, by Wenxuan Bao et al.
Summary of Sparse Autoencoders Reveal Universal Feature Spaces Across Large Language Models, by Michael Lan et al.
Summary of Diffusion Density Estimators, by Akhil Premkumar
Summary of Causal Representation Learning in Temporal Data Via Single-parent Decoding, by Philippe Brouillard et al.
Summary of Efficient Distribution Matching Of Representations Via Noise-injected Deep Infomax, by Ivan Butakov et al.
Summary of Optimizing Estimators Of Squared Calibration Errors in Classification, by Sebastian G. Gruber et al.
Summary of Tri-level Navigator: Llm-empowered Tri-level Learning For Time Series Ood Generalization, by Chengtao Jian et al.
Summary of Do Contemporary Causal Inference Models Capture Real-world Heterogeneity? Findings From a Large-scale Benchmark, by Haining Yu and Yizhou Sun
Summary of Mitigating the Language Mismatch and Repetition Issues in Llm-based Machine Translation Via Model Editing, by Weichuan Wang et al.
Summary of Distributionally Robust Clustered Federated Learning: a Case Study in Healthcare, by Xenia Konti et al.
Summary of Scaling Laws For Mixed Quantization in Large Language Models, by Zeyu Cao et al.
Summary of Evaluating the Impact Of Point Cloud Colorization on Semantic Segmentation Accuracy, by Qinfeng Zhu et al.
Summary of Gridded Transformer Neural Processes For Large Unstructured Spatio-temporal Data, by Matthew Ashman et al.
Summary of Coba: Convergence Balancer For Multitask Finetuning Of Large Language Models, by Zi Gong et al.
Summary of Utilizing Transfer Learning and Pre-trained Models For Effective Forest Fire Detection: a Case Study Of Uttarakhand, by Hari Prabhat Gupta and Rahul Mishra
Summary of Inference Over Unseen Entities, Relations and Literals on Knowledge Graphs, by Caglar Demir et al.
Summary of Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention, by Siyuan Huang et al.
Summary of Deep End-to-end Survival Analysis with Temporal Consistency, by Mariana Vargas Vieyra and Pascal Frossard
Summary of Defending Membership Inference Attacks Via Privacy-aware Sparsity Tuning, by Qiang Hu et al.
Summary of Efficient Weight-space Laplace-gaussian Filtering and Smoothing For Sequential Deep Learning, by Joanna Sliwa et al.
Summary of On the Expressiveness Of Multi-neuron Convex Relaxations, by Yuhao Mao et al.
Summary of Shap-select: Lightweight Feature Selection Using Shap Values and Regression, by Egor Kraev et al.
Summary of An Improved Approach For Cardiac Mri Segmentation Based on 3d Unet Combined with Papillary Muscle Exclusion, by Narjes Benameur et al.
Summary of Learning a Neural Solver For Parametric Pde to Enhance Physics-informed Methods, by Lise Le Boudec et al.
Summary of Transfer Learning For a Class Of Cascade Dynamical Systems, by Shima Rabiei et al.
Summary of Dynamic Metastability in the Self-attention Model, by Borjan Geshkovski et al.
Summary of Joint Fine-tuning and Conversion Of Pretrained Speech and Language Models Towards Linear Complexity, by Mutian He et al.
Summary of Forgetting Through Transforming: Enabling Federated Unlearning Via Class-aware Representation Transformation, by Qi Guo et al.
Summary of A Safety Modulator Actor-critic Method in Model-free Safe Reinforcement Learning and Application in Uav Hovering, by Qihan Qi et al.
Summary of Understanding Model Ensemble in Transferable Adversarial Attack, by Wei Yao et al.
Summary of Topotune : a Framework For Generalized Combinatorial Complex Neural Networks, by Mathilde Papillon et al.
Summary of Instantir: Blind Image Restoration with Instant Generative Reference, by Jen-yuan Huang et al.
Summary of Mitigating Time Discretization Challenges with Weatherode: a Sandwich Physics-driven Neural Ode For Weather Forecasting, by Peiyuan Liu et al.
Summary of Dcp: Learning Accelerator Dataflow For Neural Network Via Propagation, by Peng Xu et al.
Summary of Efficient and Robust Knowledge Distillation From a Stronger Teacher Based on Correlation Matching, by Wenqi Niu et al.
Summary of Convex Distillation: Efficient Compression Of Deep Networks Via Convex Optimization, by Prateek Varshney and Mert Pilanci
Summary of Dissecting Fine-tuning Unlearning in Large Language Models, by Yihuai Hong et al.
Summary of Qa-calibration Of Language Model Confidence Scores, by Putra Manggala et al.
Summary of Effective Exploration Based on the Structural Information Principles, by Xianghua Zeng et al.
Summary of Eta: Evaluating Then Aligning Safety Of Vision Language Models at Inference Time, by Yi Ding et al.
Summary of Q-wsl: Optimizing Goal-conditioned Rl with Weighted Supervised Learning Via Dynamic Programming, by Xing Lei et al.
Summary of Task-oriented Time Series Imputation Evaluation Via Generalized Representers, by Zhixian Wang and Linxiao Yang and Liang Sun and Qingsong Wen and Yi Wang
Summary of Wardropnet: Traffic Flow Predictions Via Equilibrium-augmented Learning, by Kai Jungel et al.
Summary of Toward Physics-guided Time Series Embedding, by Jiaxi Hu et al.
Summary of Gla-da: Global-local Alignment Domain Adaptation For Multivariate Time Series, by Gang Tu et al.
Summary of Revisiting Multi-permutation Equivariance Through the Lens Of Irreducible Representations, by Yonatan Sverdlov et al.
Summary of Analysis Of Different Disparity Estimation Techniques on Aerial Stereo Image Datasets, by Ishan Narayan et al.
Summary of Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens Of Large Vision-language Models, by Yubo Wang et al.
Summary of Pii-scope: a Benchmark For Training Data Pii Leakage Assessment in Llms, by Krishna Kanth Nakka et al.
Summary of Matmamba: a Matryoshka State Space Model, by Abhinav Shukla et al.
Summary of Functional-level Uncertainty Quantification For Calibrated Fine-tuning on Llms, by Ruijia Niu et al.
Summary of Addax: Utilizing Zeroth-order Gradients to Improve Memory Efficiency and Performance Of Sgd For Fine-tuning Language Models, by Zeman Li et al.
Summary of Machine Unlearning in Forgettability Sequence, by Junjie Chen et al.
Summary of Mad-scientist: Ai-based Scientist Solving Convection-diffusion-reaction Equations Using Massive Pinn-based Prior Data, by Mingu Kang et al.
Summary of Modeling Chaotic Lorenz Ode System Using Scientific Machine Learning, by Sameera S Kashyap et al.
Summary of Llm Self-correction with Decrim: Decompose, Critique, and Refine For Enhanced Following Of Instructions with Multiple Constraints, by Thomas Palmeira Ferraz et al.
Summary of A Benchmark on Directed Graph Representation Learning in Hardware Designs, by Haoyu Wang et al.
Summary of Does Spatial Cognition Emerge in Frontier Models?, by Santhosh Kumar Ramakrishnan et al.
Summary of Tcgu: Data-centric Graph Unlearning Based on Transferable Condensation, by Fan Li et al.
Summary of Flipping-based Policy For Chance-constrained Markov Decision Processes, by Xun Shen et al.
Summary of Oledfl: Unleashing the Potential Of Decentralized Federated Learning Via Opposite Lookahead Enhancement, by Qinglun Li et al.
Summary of Adaptive Guidance For Local Training in Heterogeneous Federated Learning, by Jianqing Zhang et al.
Summary of Honesty to Subterfuge: In-context Reinforcement Learning Can Make Honest Models Reward Hack, by Leo Mckee-reid et al.
Summary of Chemistry-inspired Diffusion with Non-differentiable Guidance, by Yuchen Shen et al.
Summary of Towards Self-improvement Of Llms Via Mcts: Leveraging Stepwise Knowledge with Curriculum Preference Learning, by Xiyao Wang et al.
Summary of Conformal Prediction: a Data Perspective, by Xiaofan Zhou et al.
Summary of Pfattack: Stealthy Attack Bypassing Group Fairness in Federated Learning, by Jiashi Gao et al.