Paper List

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Summary of Heteroswitch: Characterizing and Taming System-induced Data Heterogeneity in Federated Learning, by Gyudong Kim et al.
Summary of Aligners: Decoupling Llms and Alignment, by Lilian Ngweta et al.
Summary of Regularized Deepiv with Model Selection, by Zihao Li et al.
Summary of Learning to Decode Collaboratively with Multiple Language Models, by Shannon Zejiang Shen et al.
Summary of Latent Dataset Distillation with Diffusion Models, by Brian B. Moser et al.
Summary of Decoupled Vertical Federated Learning For Practical Training on Vertically Partitioned Data, by Avi Amalanshu et al.
Summary of Dart: Implicit Doppler Tomography For Radar Novel View Synthesis, by Tianshu Huang et al.
Summary of Extreme Precipitation Nowcasting Using Transformer-based Generative Models, by Cristian Meo et al.
Summary of Spear:exact Gradient Inversion Of Batches in Federated Learning, by Dimitar I. Dimitrov et al.
Summary of The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models, by Adithya Bhaskar et al.
Summary of Stop Regressing: Training Value Functions Via Classification For Scalable Deep Rl, by Jesse Farebrother et al.
Summary of Effect Of Ambient-intrinsic Dimension Gap on Adversarial Vulnerability, by Rajdeep Haldar et al.
Summary of Video Relationship Detection Using Mixture Of Experts, by Ala Shaabana and Zahra Gharaee and Paul Fieguth
Summary of On the Efficient Marginalization Of Probabilistic Sequence Models, by Alex Boyd
Summary of Sampling-based Safe Reinforcement Learning For Nonlinear Dynamical Systems, by Wesley A. Suttle et al.
Summary of Temporal Cross-attention For Dynamic Embedding and Tokenization Of Multimodal Electronic Health Records, by Yingbo Ma et al.
Summary of Three Revisits to Node-level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks, by Jing Gu et al.
Summary of Knockoff-guided Feature Selection Via a Single Pre-trained Reinforced Agent, by Xinyuan Wang et al.
Summary of Learning Guided Automated Reasoning: a Brief Survey, by Lasse Blaauwbroek et al.
Summary of Online Learning with Unknown Constraints, by Karthik Sridharan and Seung Won Wilson Yoo
Summary of Unsupervised Contrastive Learning For Robust Rf Device Fingerprinting Under Time-domain Shift, by Jun Chen et al.
Summary of Ocd-fl: a Novel Communication-efficient Peer Selection-based Decentralized Federated Learning, by Nizar Masmoudi et al.
Summary of Sample Size Planning For Conditional Counterfactual Mean Estimation with a K-armed Randomized Experiment, by Gabriel Ruiz
Summary of Probabilistic Topic Modelling with Transformer Representations, by Arik Reuter et al.
Summary of A&b Bnn: Add&bit-operation-only Hardware-friendly Binary Neural Network, by Ruichen Ma et al.
Summary of Supclust: Active Learning at the Boundaries, by Yuta Ono et al.
Summary of Deepcre: Transforming Drug R&d Via Ai-driven Cross-drug Response Evaluation, by Yushuai Wu et al.
Summary of Acceleratedlingam: Learning Causal Dags at the Speed Of Gpus, by Victor Akinwande et al.
Summary of Enot: Expectile Regularization For Fast and Accurate Training Of Neural Optimal Transport, by Nazar Buzun et al.
Summary of Verified Training For Counterfactual Explanation Robustness Under Data Shift, by Anna P. Meyer and Yuhao Zhang and Aws Albarghouthi and Loris D’antoni
Summary of Incentivized Learning in Principal-agent Bandit Games, by Antoine Scheid et al.
Summary of Probsaint: Probabilistic Tabular Regression For Used Car Pricing, by Kiran Madhusudhanan et al.
Summary of Kg-treat: Pre-training For Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs, By Ruoqi Liu et al.
Summary of Targeted Variance Reduction: Robust Bayesian Optimization Of Black-box Simulators with Noise Parameters, by John Joshua Miller et al.
Summary of Cobweb: An Incremental and Hierarchical Model Of Human-like Category Learning, by Xin Lian et al.
Summary of Feature Selection As Deep Sequential Generative Learning, by Wangyang Ying et al.
Summary of On the Effectiveness Of Distillation in Mitigating Backdoors in Pre-trained Encoder, by Tingxu Han et al.
Summary of Accelerating Convergence Of Score-based Diffusion Models, Provably, by Gen Li et al.
Summary of Conformal Prediction For Multi-dimensional Time Series by Ellipsoidal Sets, By Chen Xu et al.
Summary of Public-data Assisted Private Stochastic Optimization: Power and Limitations, by Enayat Ullah et al.
Summary of Designing Informative Metrics For Few-shot Example Selection, by Rishabh Adiga et al.
Summary of On the Origins Of Linear Representations in Large Language Models, by Yibo Jiang et al.
Summary of Almost Surely Asymptotically Constant Graph Neural Networks, by Sam Adam-day et al.
Summary of On Transfer in Classification: How Well Do Subsets Of Classes Generalize?, by Raphael Baena et al.
Summary of Learning Invariant Representations Of Graph Neural Networks Via Cluster Generalization, by Donglin Xia et al.
Summary of Routeexplainer: An Explanation Framework For Vehicle Routing Problem, by Daisuke Kikuta and Hiroki Ikeuchi and Kengo Tajiri and Yuusuke Nakano
Summary of Sheetagent: Towards a Generalist Agent For Spreadsheet Reasoning and Manipulation Via Large Language Models, by Yibin Chen et al.
Summary of Gsnerf: Generalizable Semantic Neural Radiance Fields with Enhanced 3d Scene Understanding, by Zi-ting Chou et al.
Summary of Tackling Missing Values in Probabilistic Wind Power Forecasting: a Generative Approach, by Honglin Wen et al.
Summary of A Survey on Applications Of Reinforcement Learning in Spatial Resource Allocation, by Di Zhang et al.
Summary of Provable Filter For Real-world Graph Clustering, by Xuanting Xie et al.
Summary of Robust Graph Structure Learning Under Heterophily, by Xuanting Xie et al.
Summary of Cdc: a Simple Framework For Complex Data Clustering, by Zhao Kang et al.
Summary of Spectral Algorithms on Manifolds Through Diffusion, by Weichun Xia and Lei Shi
Summary of Learning Adversarial Mdps with Stochastic Hard Constraints, by Francesco Emanuele Stradi et al.
Summary of Simplified Pcnet with Robustness, by Bingheng Li et al.
Summary of Spectral Phase Transition and Optimal Pca in Block-structured Spiked Models, by Pierre Mergny et al.
Summary of Towards Controllable Time Series Generation, by Yifan Bao et al.
Summary of Online Model Error Correction with Neural Networks: Application to the Integrated Forecasting System, by Alban Farchi et al.
Summary of Diffusion on Language Model Encodings For Protein Sequence Generation, by Viacheslav Meshchaninov et al.
Summary of Bridging Diversity and Uncertainty in Active Learning with Self-supervised Pre-training, by Paul Doucet et al.
Summary of Learning 3d Object-centric Representation Through Prediction, by John Day et al.
Summary of Unifying Generation and Compression: Ultra-low Bitrate Image Coding Via Multi-stage Transformer, by Naifu Xue et al.
Summary of Cormf: Criticality-ordered Recurrent Mean Field Ising Solver, by Zhenyu Pan et al.
Summary of An Enkf-lstm Assimilation Algorithm For Crop Growth Model, by Siqi Zhou et al.
Summary of Bait: Benchmarking (embedding) Architectures For Interactive Theorem-proving, by Sean Lamont et al.
Summary of Prediction Of Cryptocurrency Prices Using Lstm, Svm and Polynomial Regression, by Novan Fauzi Al Giffary et al.
Summary of Advancing Out-of-distribution Detection Through Data Purification and Dynamic Activation Function Design, by Yingrui Ji et al.
Summary of Leveraging the Finite States Of Emotion Processing to Study Late-life Mental Health, by Yuanzhe Huang et al.
Summary of Lead: Learning Decomposition For Source-free Universal Domain Adaptation, by Sanqing Qu et al.
Summary of Sculpting Molecules in Text-3d Space: a Flexible Substructure Aware Framework For Text-oriented Molecular Optimization, by Kaiwei Zhang et al.
Summary of Uncertainty Quantification For Deeponets with Ensemble Kalman Inversion, by Andrew Pensoneault et al.
Summary of Kernel Correlation-dissimilarity For Multiple Kernel K-means Clustering, by Rina Su et al.
Summary of Learning Constrained Optimization with Deep Augmented Lagrangian Methods, by James Kotary and Ferdinando Fioretto
Summary of Slot Abstractors: Toward Scalable Abstract Visual Reasoning, by Shanka Subhra Mondal et al.
Summary of Self-attention Empowered Graph Convolutional Network For Structure Learning and Node Embedding, by Mengying Jiang et al.
Summary of Inverse-free Fast Natural Gradient Descent Method For Deep Learning, by Xinwei Ou et al.
Summary of Boosting Meta-training with Base Class Information For Few-shot Learning, by Weihao Jiang et al.
Summary of Galore: Memory-efficient Llm Training by Gradient Low-rank Projection, By Jiawei Zhao et al.
Summary of A Teacher-free Graph Knowledge Distillation Framework with Dual Self-distillation, by Lirong Wu et al.
Summary of Task Attribute Distance For Few-shot Learning: Theoretical Analysis and Applications, by Minyang Hu et al.
Summary of Dpot: Auto-regressive Denoising Operator Transformer For Large-scale Pde Pre-training, by Zhongkai Hao et al.
Summary of Efficient Algorithms For Empirical Group Distributionally Robust Optimization and Beyond, by Dingzhi Yu et al.
Summary of Active Statistical Inference, by Tijana Zrnic et al.
Summary of The Wmdp Benchmark: Measuring and Reducing Malicious Use with Unlearning, by Nathaniel Li et al.
Summary of Lc-tsallis-inf: Generalized Best-of-both-worlds Linear Contextual Bandits, by Masahiro Kato and Shinji Ito
Summary of Knowledge-guided Eeg Representation Learning, by Aditya Kommineni et al.
Summary of From Displacements to Distributions: a Machine-learning Enabled Framework For Quantifying Uncertainties in Parameters Of Computational Models, by Taylor Roper and Harri Hakula and Troy Butler
Summary of Dinov2 Based Self Supervised Learning For Few Shot Medical Image Segmentation, by Lev Ayzenberg et al.
Summary of Exact Enforcement Of Temporal Continuity in Sequential Physics-informed Neural Networks, by Pratanu Roy and Stephen Castonguay
Summary of Credibility-aware Multi-modal Fusion Using Probabilistic Circuits, by Sahil Sidheekh et al.
Summary of Averaging Rate Scheduler For Decentralized Learning on Heterogeneous Data, by Sai Aparna Aketi et al.
Summary of Large Language Models For Document-level Event-argument Data Augmentation For Challenging Role Types, by Joseph Gatto et al.
Summary of An Ensemble Framework For Explainable Geospatial Machine Learning Models, by Lingbo Liu
Summary of Federated Learning Over Connected Modes, by Dennis Grinwald et al.
Summary of Hypothesis Spaces For Deep Learning, by Rui Wang et al.
Summary of Race-sm: Reinforcement Learning Based Autonomous Control For Social On-ramp Merging, by Jordan Poots
Summary of Chained Information-theoretic Bounds and Tight Regret Rate For Linear Bandit Problems, by Amaury Gouverneur et al.
Summary of Level Set Teleportation: An Optimization Perspective, by Aaron Mishkin et al.
Summary of Complexity Matters: Dynamics Of Feature Learning in the Presence Of Spurious Correlations, by Guanwen Qiu et al.