Paper List

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Summary of Low-rank Similarity Mining For Multimodal Dataset Distillation, by Yue Xu et al.
Summary of Infusing Self-consistency Into Density Functional Theory Hamiltonian Prediction Via Deep Equilibrium Models, by Zun Wang et al.
Summary of Cross-variable Linear Integrated Enhanced Transformer For Photovoltaic Power Forecasting, by Jiaxin Gao et al.
Summary of Private Online Learning Via Lazy Algorithms, by Hilal Asi et al.
Summary of Synthetic Oversampling: Theory and a Practical Approach Using Llms to Address Data Imbalance, by Ryumei Nakada et al.
Summary of Is Free Self-alignment Possible?, by Dyah Adila et al.
Summary of Discovering Bias in Latent Space: An Unsupervised Debiasing Approach, by Dyah Adila et al.
Summary of Inductive Generalization in Reinforcement Learning From Specifications, by Vignesh Subramanian et al.
Summary of Equivalence Set Restricted Latent Class Models (esrlcm), by Jesse Bowers et al.
Summary of Decision-focused Graph Neural Networks For Combinatorial Optimization, by Yang Liu et al.
Summary of The Missing Curve Detectors Of Inceptionv1: Applying Sparse Autoencoders to Inceptionv1 Early Vision, by Liv Gorton
Summary of Towards Dynamic Trend Filtering Through Trend Point Detection with Reinforcement Learning, by Jihyeon Seong et al.
Summary of Panda: Expanded Width-aware Message Passing Beyond Rewiring, by Jeongwhan Choi et al.
Summary of Reflective Policy Optimization, by Yaozhong Gan et al.
Summary of On the Effects Of Data Scale on Ui Control Agents, by Wei Li et al.
Summary of Meta-learning For Positive-unlabeled Classification, by Atsutoshi Kumagai et al.
Summary of Bindgpt: a Scalable Framework For 3d Molecular Design Via Language Modeling and Reinforcement Learning, by Artem Zholus et al.
Summary of Bayesian Power Steering: An Effective Approach For Domain Adaptation Of Diffusion Models, by Ding Huang and Ting Li and Jian Huang
Summary of Synthesizing Conversations From Unlabeled Documents Using Automatic Response Segmentation, by Fanyou Wu et al.
Summary of A Universal Class Of Sharpness-aware Minimization Algorithms, by Behrooz Tahmasebi et al.
Summary of Error Dynamics Of Mini-batch Gradient Descent with Random Reshuffling For Least Squares Regression, by Jackie Lok et al.
Summary of Excluding the Irrelevant: Focusing Reinforcement Learning Through Continuous Action Masking, by Roland Stolz et al.
Summary of What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions, by Liyi Zhang et al.
Summary of Grokking Modular Polynomials, by Darshil Doshi et al.
Summary of Qjl: 1-bit Quantized Jl Transform For Kv Cache Quantization with Zero Overhead, by Amir Zandieh et al.
Summary of Wings: Learning Multimodal Llms Without Text-only Forgetting, by Yi-kai Zhang et al.
Summary of Position: Rethinking Post-hoc Search-based Neural Approaches For Solving Large-scale Traveling Salesman Problems, by Yifan Xia et al.
Summary of Dynamic and Adaptive Feature Generation with Llm, by Xinhao Zhang et al.
Summary of Fuzzy Convolution Neural Networks For Tabular Data Classification, by Arun D. Kulkarni
Summary of Mutual Information Guided Backdoor Mitigation For Pre-trained Encoders, by Tingxu Han et al.
Summary of Robust Prediction Model For Multidimensional and Unbalanced Datasets, by Pooja Thakar et al.
Summary of Maginet: Mask-aware Graph Imputation Network For Incomplete Traffic Data, by Jianping Zhou et al.
Summary of Noise-aware Algorithm For Heterogeneous Differentially Private Federated Learning, by Saber Malekmohammadi et al.
Summary of Videophy: Evaluating Physical Commonsense For Video Generation, by Hritik Bansal et al.
Summary of Countclip — [re] Teaching Clip to Count to Ten, by Harshvardhan Mestha et al.
Summary of Reconciling Heterogeneous Effects in Causal Inference, by Audrey Chang et al.
Summary of A Comparison Of Recent Algorithms For Symbolic Regression to Genetic Programming, by Yousef A. Radwan et al.
Summary of A Geometric View Of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models, by Hamidreza Kamkari et al.
Summary of Hi5: 2d Hand Pose Estimation with Zero Human Annotation, by Masum Hasan et al.
Summary of Alignment Calibration: Machine Unlearning For Contrastive Learning Under Auditing, by Yihan Wang et al.
Summary of Advancing Anomaly Detection: Non-semantic Financial Data Encoding with Llms, by Alexander Bakumenko (1) et al.
Summary of Beacon: a Bayesian Optimization Strategy For Novelty Search in Expensive Black-box Systems, by Wei-ting Tang and Ankush Chakrabarty and Joel A. Paulson
Summary of Symmetry Discovery Beyond Affine Transformations, by Ben Shaw et al.
Summary of Structure-based Drug Design Benchmark: Do 3d Methods Really Dominate?, by Kangyu Zheng et al.
Summary of Mixed-precision Federated Learning Via Multi-precision Over-the-air Aggregation, by Jinsheng Yuan et al.
Summary of St-dpgan: a Privacy-preserving Framework For Spatiotemporal Data Generation, by Wei Shao et al.
Summary of Amalgam: a Framework For Obfuscated Neural Network Training on the Cloud, by Sifat Ut Taki and Spyridon Mastorakis
Summary of Physics and Geometry Informed Neural Operator Network with Application to Acoustic Scattering, by Siddharth Nair et al.
Summary of Lncrna-disease Association Prediction Method Based on Heterogeneous Information Completion and Convolutional Neural Network, by Wen-yu Xi et al.
Summary of Transfer Learning For Latent Variable Network Models, by Akhil Jalan et al.
Summary of Hellofresh: Llm Evaluations on Streams Of Real-world Human Editorial Actions Across X Community Notes and Wikipedia Edits, by Tim Franzmeyer et al.
Summary of Unified Pac-bayesian Study Of Pessimism For Offline Policy Learning with Regularized Importance Sampling, by Imad Aouali et al.
Summary of Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model, by Jinyin Chen et al.
Summary of Cycles Of Thought: Measuring Llm Confidence Through Stable Explanations, by Evan Becker et al.
Summary of Fils: Self-supervised Video Feature Prediction in Semantic Language Space, by Mona Ahmadian et al.
Summary of Pre-trained Large Language Models Use Fourier Features to Compute Addition, by Tianyi Zhou et al.
Summary of Distributional Adversarial Loss, by Saba Ahmadi et al.
Summary of Node-wise Filtering in Graph Neural Networks: a Mixture Of Experts Approach, by Haoyu Han et al.
Summary of Solving Differential Equations Using Physics-informed Deep Equilibrium Models, by Bruno Machado Pacheco and Eduardo Camponogara
Summary of Does Your Data Spark Joy? Performance Gains From Domain Upsampling at the End Of Training, by Cody Blakeney et al.
Summary of Convolutional Neural Networks and Vision Transformers For Fashion Mnist Classification: a Literature Review, by Sonia Bbouzidi et al.
Summary of Solving Poisson Equations Using Neural Walk-on-spheres, by Hong Chul Nam et al.
Summary of Highway Value Iteration Networks, by Yuhui Wang et al.
Summary of Near-field Beam Training For Extremely Large-scale Mimo Based on Deep Learning, by Jiali Nie et al.
Summary of Higher Order Structures For Graph Explanations, by Akshit Sinha et al.
Summary of On the Maximal Local Disparity Of Fairness-aware Classifiers, by Jinqiu Jin et al.
Summary of Relaxed Quantile Regression: Prediction Intervals For Asymmetric Noise, by Thomas Pouplin et al.
Summary of Feature Learning in Finite-width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers, by Federico Bassetti et al.
Summary of No-regret Algorithms For Safe Bayesian Optimization with Monotonicity Constraints, by Arpan Losalka et al.
Summary of Revisiting Scalable Hessian Diagonal Approximations For Applications in Reinforcement Learning, by Mohamed Elsayed et al.
Summary of Fusionbench: a Comprehensive Benchmark Of Deep Model Fusion, by Anke Tang et al.
Summary of Reproducibility Study Of Fairac, by Gijs De Jong et al.
Summary of Embarrassingly Parallel Gflownets, by Tiago Da Silva et al.
Summary of Udql: Bridging the Gap Between Mse Loss and the Optimal Value Function in Offline Reinforcement Learning, by Yu Zhang et al.
Summary of Reparameterization Invariance in Approximate Bayesian Inference, by Hrittik Roy et al.
Summary of Tackling Genai Copyright Issues: Originality Estimation and Genericization, by Hiroaki Chiba-okabe and Weijie J. Su
Summary of Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize, by Tianren Zhang et al.
Summary of Normalizing Flows For Conformal Regression, by Nicolo Colombo
Summary of Position: a Call to Action For a Human-centered Automl Paradigm, by Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and Andreas Mueller and Frank Hutter and Matthias Feurer and Bernd Bischl
Summary of What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes, by Pio Calderon et al.
Summary of Learning Long Range Dependencies on Graphs Via Random Walks, by Dexiong Chen et al.
Summary of Noisy Data Visualization Using Functional Data Analysis, by Haozhe Chen et al.
Summary of Methods For Class-imbalanced Learning with Support Vector Machines: a Review and An Empirical Evaluation, by Salim Rezvani and Farhad Pourpanah and Chee Peng Lim and Q. M. Jonathan Wu
Summary of Mess: Modern Electronic Structure Simulations, by Hatem Helal and Andrew Fitzgibbon
Summary of Computational Limits Of Low-rank Adaptation (lora) For Transformer-based Models, by Jerry Yao-chieh Hu et al.
Summary of Continual Traffic Forecasting Via Mixture Of Experts, by Sanghyun Lee et al.
Summary of On the Power Of Randomization in Fair Classification and Representation, by Sushant Agarwal et al.
Summary of Tiny Models From Tiny Data: Textual and Null-text Inversion For Few-shot Distillation, by Erik Landolsi et al.
Summary of Sample-specific Masks For Visual Reprogramming-based Prompting, by Chengyi Cai and Zesheng Ye and Lei Feng and Jianzhong Qi and Feng Liu
Summary of Which Side Are You On? a Multi-task Dataset For End-to-end Argument Summarisation and Evaluation, by Hao Li et al.
Summary of Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation, by Marvin Schmitt et al.
Summary of Ethical Considerations Of Use Of Hold-out Sets in Clinical Prediction Model Management, by Louis Chislett et al.
Summary of Topological Neural Networks Go Persistent, Equivariant, and Continuous, by Yogesh Verma et al.
Summary of High-dimensional Kernel Methods Under Covariate Shift: Data-dependent Implicit Regularization, by Yihang Chen et al.
Summary of The Impossibility Of Fair Llms, by Jacy Anthis et al.
Summary of Initialization-enhanced Physics-informed Neural Network with Domain Decomposition (idpinn), by Chenhao Si and Ming Yan
Summary of Challenges and Considerations in the Evaluation Of Bayesian Causal Discovery, by Amir Mohammad Karimi Mamaghan et al.
Summary of Inferring the Time-varying Coupling Of Dynamical Systems with Temporal Convolutional Autoencoders, by Josuan Calderon and Gordon J. Berman
Summary of Bayesian Weaks-to-strong From Text Classification to Generation, by Ziyun Cui et al.
Summary of Choice Of Peft Technique in Continual Learning: Prompt Tuning Is Not All You Need, by Martin Wistuba and Prabhu Teja Sivaprasad and Lukas Balles and Giovanni Zappella