Paper List

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Summary of Why Are Visually-grounded Language Models Bad at Image Classification?, by Yuhui Zhang et al.
Summary of Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets, by Khen Cohen et al.
Summary of On the Origin Of Llamas: Model Tree Heritage Recovery, by Eliahu Horwitz et al.
Summary of Multi-cate: Multi-accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts, by Christoph Kern et al.
Summary of A Human-like Reasoning Framework For Multi-phases Planning Task with Large Language Models, by Chengxing Xie et al.
Summary of Understanding Inter-concept Relationships in Concept-based Models, by Naveen Raman et al.
Summary of Finercut: Finer-grained Interpretable Layer Pruning For Large Language Models, by Yang Zhang et al.
Summary of Non-negative Tensor Mixture Learning For Discrete Density Estimation, by Kazu Ghalamkari et al.
Summary of From Learning to Optimize to Learning Optimization Algorithms, by Camille Castera et al.
Summary of Unveiling the Cycloid Trajectory Of Em Iterations in Mixed Linear Regression, by Zhankun Luo et al.
Summary of Proper Dataset Valuation by Pointwise Mutual Information, By Shuran Zheng et al.
Summary of Adaptive Debiased Sgd in High-dimensional Glms with Streaming Data, by Ruijian Han et al.
Summary of Modl: Multilearner Online Deep Learning, by Antonios Valkanas et al.
Summary of Highway Reinforcement Learning, by Yuhui Wang et al.
Summary of Fedsac: Dynamic Submodel Allocation For Collaborative Fairness in Federated Learning, by Zihui Wang et al.
Summary of Cf-opt: Counterfactual Explanations For Structured Prediction, by Germain Vivier-ardisson et al.
Summary of Bias in Motion: Theoretical Insights Into the Dynamics Of Bias in Sgd Training, by Anchit Jain et al.
Summary of Context-specific Refinements Of Bayesian Network Classifiers, by Manuele Leonelli et al.
Summary of Learning Staged Trees From Incomplete Data, by Jack Storror Carter et al.
Summary of Deep Learning Innovations For Underwater Waste Detection: An In-depth Analysis, by Jaskaran Singh Walia and Pavithra L K
Summary of Deterministic and Statistical Calibration Of Constitutive Models From Full-field Data with Parametric Physics-informed Neural Networks, by David Anton et al.
Summary of Dataset Growth, by Ziheng Qin et al.
Summary of Deriving Causal Order From Single-variable Interventions: Guarantees & Algorithm, by Mathieu Chevalley et al.
Summary of 2bp: 2-stage Backpropagation, by Christopher Rae et al.
Summary of Harmodt: Harmony Multi-task Decision Transformer For Offline Reinforcement Learning, by Shengchao Hu et al.
Summary of Guidance and Control Networks with Periodic Activation Functions, by Sebastien Origer et al.
Summary of Is Machine Learning Good or Bad For the Natural Sciences?, by David W. Hogg (nyu et al.
Summary of A Pontryagin Perspective on Reinforcement Learning, by Onno Eberhard et al.
Summary of Individual Contributions As Intrinsic Exploration Scaffolds For Multi-agent Reinforcement Learning, by Xinran Li et al.
Summary of Graph Coarsening with Message-passing Guarantees, by Antonin Joly et al.
Summary of Low-resource Crop Classification From Multi-spectral Time Series Using Lossless Compressors, by Wei Cheng et al.
Summary of Exploiting Llm Quantization, by Kazuki Egashira et al.
Summary of 4-bit Shampoo For Memory-efficient Network Training, by Sike Wang et al.
Summary of Time Series Representation Models, by Robert Leppich et al.
Summary of Semf: Supervised Expectation-maximization Framework For Predicting Intervals, by Ilia Azizi et al.
Summary of Anyfit: Controllable Virtual Try-on For Any Combination Of Attire Across Any Scenario, by Yuhan Li et al.
Summary of Safe Reinforcement Learning in Black-box Environments Via Adaptive Shielding, by Daniel Bethell et al.
Summary of Aligniql: Policy Alignment in Implicit Q-learning Through Constrained Optimization, by Longxiang He et al.
Summary of Mutation-bias Learning in Games, by Johann Bauer et al.
Summary of Adam with Model Exponential Moving Average Is Effective For Nonconvex Optimization, by Kwangjun Ahn et al.
Summary of In-context Symmetries: Self-supervised Learning Through Contextual World Models, by Sharut Gupta et al.
Summary of Delving Into Differentially Private Transformer, by Youlong Ding et al.
Summary of Im-context: In-context Learning For Imbalanced Regression Tasks, by Ismail Nejjar et al.
Summary of Trustworthy Dnn Partition For Blockchain-enabled Digital Twin in Wireless Iiot Networks, by Xiumei Deng et al.
Summary of Cost-sensitive Multi-fidelity Bayesian Optimization with Transfer Of Learning Curve Extrapolation, by Dong Bok Lee et al.
Summary of The Evolution Of Multimodal Model Architectures, by Shakti N. Wadekar et al.
Summary of Online Merging Optimizers For Boosting Rewards and Mitigating Tax in Alignment, by Keming Lu et al.
Summary of Towards Communication-efficient Federated Learning Via Sparse and Aligned Adaptive Optimization, by Xiumei Deng et al.
Summary of Rc-mixup: a Data Augmentation Strategy Against Noisy Data For Regression Tasks, by Seong-hyeon Hwang et al.
Summary of Efficient Prior Calibration From Indirect Data, by O. Deniz Akyildiz et al.
Summary of Matroid Semi-bandits in Sublinear Time, by Ruo-chun Tzeng et al.
Summary of Knowledge Circuits in Pretrained Transformers, by Yunzhi Yao et al.
Summary of Reinforced Model Predictive Control Via Trust-region Quasi-newton Policy Optimization, by Dean Brandner and Sergio Lucia
Summary of Cross-context Backdoor Attacks Against Graph Prompt Learning, by Xiaoting Lyu et al.
Summary of Dmt-jepa: Discriminative Masked Targets For Joint-embedding Predictive Architecture, by Shentong Mo et al.
Summary of Exploring Context Window Of Large Language Models Via Decomposed Positional Vectors, by Zican Dong et al.
Summary of Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?, by Zebin You et al.
Summary of Fast-fedul: a Training-free Federated Unlearning with Provable Skew Resilience, by Thanh Trung Huynh et al.
Summary of Large Language Model-driven Curriculum Design For Mobile Networks, by Omar Erak et al.
Summary of Forecastgrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks, by Wanlin Cai et al.
Summary of Visualizing the Loss Landscape Of Self-supervised Vision Transformer, by Youngwan Lee et al.
Summary of Bridging Mini-batch and Asymptotic Analysis in Contrastive Learning: From Infonce to Kernel-based Losses, by Panagiotis Koromilas et al.
Summary of An Empirical Analysis Of Forgetting in Pre-trained Models with Incremental Low-rank Updates, by Albin Soutif–cormerais et al.
Summary of Exploring Activation Patterns Of Parameters in Language Models, by Yudong Wang et al.
Summary of Pursuing Feature Separation Based on Neural Collapse For Out-of-distribution Detection, by Yingwen Wu et al.
Summary of Multi-level Interaction Modeling For Protein Mutational Effect Prediction, by Yuanle Mo et al.
Summary of Ldmol: Text-to-molecule Diffusion Model with Structurally Informative Latent Space, by Jinho Chang and Jong Chul Ye
Summary of Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias, by Keith Burghardt et al.
Summary of Mollification Effects Of Policy Gradient Methods, by Tao Wang et al.
Summary of Mmdisco: Multi-modal Discriminator-guided Cooperative Diffusion For Joint Audio and Video Generation, by Akio Hayakawa et al.
Summary of I-llm: Efficient Integer-only Inference For Fully-quantized Low-bit Large Language Models, by Xing Hu et al.
Summary of Nuts, Nars, and Speech, by D. Van Der Sluis
Summary of Towards Robust Prediction Of Material Properties For Nuclear Reactor Design Under Scarce Data — a Study in Creep Rupture Property, by Yu Chen et al.
Summary of Decentralized Directed Collaboration For Personalized Federated Learning, by Yingqi Liu et al.
Summary of An Information Theoretic Evaluation Metric For Strong Unlearning, by Dongjae Jeon et al.
Summary of Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree, by Lang Feng et al.
Summary of Diffusion Rejection Sampling, by Byeonghu Na et al.
Summary of Crystal-lsbo: Automated Design Of De Novo Crystals with Latent Space Bayesian Optimization, by Onur Boyar et al.
Summary of Achieving Exponential Asymptotic Optimality in Average-reward Restless Bandits Without Global Attractor Assumption, by Yige Hong et al.
Summary of Improving Discrete Diffusion Models Via Structured Preferential Generation, by Severi Rissanen et al.
Summary of Flashst: a Simple and Universal Prompt-tuning Framework For Traffic Prediction, by Zhonghang Li et al.
Summary of Boosting Protein Language Models with Negative Sample Mining, by Yaoyao Xu et al.
Summary of Cycle-yolo: a Efficient and Robust Framework For Pavement Damage Detection, by Zhengji Li et al.
Summary of Claim Your Data: Enhancing Imputation Accuracy with Contextual Large Language Models, by Ahatsham Hayat and Mohammad Rashedul Hasan
Summary of Adapnet: Adaptive Noise-based Network For Low-quality Image Retrieval, by Sihe Zhang et al.
Summary of Mindformer: Semantic Alignment Of Multi-subject Fmri For Brain Decoding, by Inhwa Han et al.
Summary of Mmpareto: Boosting Multimodal Learning with Innocent Unimodal Assistance, by Yake Wei and Di Hu
Summary of Orlm: a Customizable Framework in Training Large Models For Automated Optimization Modeling, by Chenyu Huang et al.
Summary of Towards Efficient Disaster Response Via Cost-effective Unbiased Class Rate Estimation Through Neyman Allocation Stratified Sampling Active Learning, by Yanbing Bai et al.
Summary of Magnitude-based Neuron Pruning For Backdoor Defens, by Nan Li and Haoyu Jiang and Ping Yi
Summary of Rethinking Pruning For Backdoor Mitigation: An Optimization Perspective, by Nan Li and Haiyang Yu and Ping Yi
Summary of Double Variance Reduction: a Smoothing Trick For Composite Optimization Problems Without First-order Gradient, by Hao Di et al.
Summary of Sleepfm: Multi-modal Representation Learning For Sleep Across Brain Activity, Ecg and Respiratory Signals, by Rahul Thapa et al.
Summary of Linguistic Collapse: Neural Collapse in (large) Language Models, by Robert Wu and Vardan Papyan
Summary of Revisiting the Message Passing in Heterophilous Graph Neural Networks, by Zhuonan Zheng et al.
Summary of The Binary Quantized Neural Network For Dense Prediction Via Specially Designed Upsampling and Attention, by Xingyu Ding and Lianlei Shan and Guiqin Zhao and Meiqi Wu and Wenzhang Zhou and Wei Li
Summary of Online Analytic Exemplar-free Continual Learning with Large Models For Imbalanced Autonomous Driving Task, by Huiping Zhuang et al.
Summary of Post-fair Federated Learning: Achieving Group and Community Fairness in Federated Learning Via Post-processing, by Yuying Duan et al.
Summary of Offline Oracle-efficient Learning For Contextual Mdps Via Layerwise Exploration-exploitation Tradeoff, by Jian Qian et al.
Summary of Adaptive Horizon Actor-critic For Policy Learning in Contact-rich Differentiable Simulation, by Ignat Georgiev et al.