Paper List

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Summary of Bmrs: Bayesian Model Reduction For Structured Pruning, by Dustin Wright et al.
Summary of Learning to Play Atari in a World Of Tokens, by Pranav Agarwal et al.
Summary of From Feature Visualization to Visual Circuits: Effect Of Adversarial Model Manipulation, by Geraldin Nanfack et al.
Summary of Combinatorial Multivariant Multi-armed Bandits with Applications to Episodic Reinforcement Learning and Beyond, by Xutong Liu et al.
Summary of Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline, By Jan Lippemeier et al.
Summary of Estimating Canopy Height at Scale, by Jan Pauls et al.
Summary of Effective Subset Selection Through the Lens Of Neural Network Pruning, by Noga Bar and Raja Giryes
Summary of Synergizing Unsupervised and Supervised Learning: a Hybrid Approach For Accurate Natural Language Task Modeling, by Wrick Talukdar et al.
Summary of Learning Decision Trees and Forests with Algorithmic Recourse, by Kentaro Kanamori et al.
Summary of Deep Reinforcement Learning For Weakly Coupled Mdp’s with Continuous Actions, by Francisco Robledo (lmap et al.
Summary of Advancing Drl Agents in Commercial Fighting Games: Training, Integration, and Agent-human Alignment, by Chen Zhang et al.
Summary of Globally Interpretable Classifiers Via Boolean Formulas with Dynamic Propositions, by Reijo Jaakkola et al.
Summary of Cohort Squeeze: Beyond a Single Communication Round Per Cohort in Cross-device Federated Learning, by Kai Yi et al.
Summary of Latent Logic Tree Extraction For Event Sequence Explanation From Llms, by Zitao Song et al.
Summary of Sava: Scalable Learning-agnostic Data Valuation, by Samuel Kessler et al.
Summary of Towards Practical Single-shot Motion Synthesis, by Konstantinos Roditakis and Spyridon Thermos and Nikolaos Zioulis
Summary of Agnostic Learning Of Mixed Linear Regressions with Em and Am Algorithms, by Avishek Ghosh and Arya Mazumdar
Summary of Looking Backward: Retrospective Backward Synthesis For Goal-conditioned Gflownets, by Haoran He and Can Chang and Huazhe Xu and Ling Pan
Summary of Conditional Gumbel-softmax For Constrained Feature Selection with Application to Node Selection in Wireless Sensor Networks, by Thomas Strypsteen and Alexander Bertrand
Summary of Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective, by Sindre Benjamin Remman et al.
Summary of When to Sense and Control? a Time-adaptive Approach For Continuous-time Rl, by Lenart Treven et al.
Summary of Neorl: Efficient Exploration For Nonepisodic Rl, by Bhavya Sukhija et al.
Summary of Automatic Input Feature Relevance Via Spectral Neural Networks, by Lorenzo Chicchi et al.
Summary of Multimax: Sparse and Multi-modal Attention Learning, by Yuxuan Zhou et al.
Summary of Evidence Of Learned Look-ahead in a Chess-playing Neural Network, by Erik Jenner et al.
Summary of Pretrained Hybrids with Mad Skills, by Nicholas Roberts et al.
Summary of Dda: Dimensionality Driven Augmentation Search For Contrastive Learning in Laparoscopic Surgery, by Yuning Zhou et al.
Summary of Demystifying Sgd with Doubly Stochastic Gradients, by Kyurae Kim et al.
Summary of Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel, by Shivam Gupta et al.
Summary of State Space Models on Temporal Graphs: a First-principles Study, by Jintang Li et al.
Summary of Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion For Medical Image Segmentation, by Tianyu Huang et al.
Summary of Enhancing Fairness in Unsupervised Graph Anomaly Detection Through Disentanglement, by Wenjing Chang et al.
Summary of Navigating Conflicting Views: Harnessing Trust For Learning, by Jueqing Lu et al.
Summary of Constraint-aware Diffusion Models For Trajectory Optimization, by Anjian Li et al.
Summary of Distributional Refinement Network: Distributional Forecasting Via Deep Learning, by Benjamin Avanzi et al.
Summary of Seeing the Forest Through the Trees: Data Leakage From Partial Transformer Gradients, by Weijun Li et al.
Summary of Attention-based Iterative Decomposition For Tensor Product Representation, by Taewon Park et al.
Summary of Scalable Ensembling For Mitigating Reward Overoptimisation, by Ahmed M. Ahmed et al.
Summary of Llm and Gnn Are Complementary: Distilling Llm For Multimodal Graph Learning, by Junjie Xu et al.
Summary of Generalized Jersey Number Recognition Using Multi-task Learning with Orientation-guided Weight Refinement, by Yung-hui Lin et al.
Summary of Virtual Avatar Generation Models As World Navigators, by Sai Mandava
Summary of Causal Prompting Model-based Offline Reinforcement Learning, by Xuehui Yu et al.
Summary of Confidence-based Task Prediction in Continual Disease Classification Using Probability Distribution, by Tanvi Verma and Lukas Schwemer and Mingrui Tan and Fei Gao and Yong Liu and Huazhu Fu
Summary of Topology-aware Dynamic Reweighting For Distribution Shifts on Graph, by Weihuang Zheng et al.
Summary of Diffusion Tuning: Transferring Diffusion Models Via Chain Of Forgetting, by Jincheng Zhong et al.
Summary of Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks For Tabular Data, by Thibault Simonetto et al.
Summary of Bayesian Joint Additive Factor Models For Multiview Learning, by Niccolo Anceschi and Federico Ferrari and David B. Dunson and Himel Mallick
Summary of Differentiation Of Multi-objective Data-driven Decision Pipeline, by Peng Li et al.
Summary of Is In-context Learning in Large Language Models Bayesian? a Martingale Perspective, by Fabian Falck et al.
Summary of Magr: Weight Magnitude Reduction For Enhancing Post-training Quantization, by Aozhong Zhang et al.
Summary of Extrapolability Improvement Of Machine Learning-based Evapotranspiration Models Via Domain-adversarial Neural Networks, by Haiyang Shi
Summary of Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System, by M. Sajid et al.
Summary of Envisioning Outlier Exposure by Large Language Models For Out-of-distribution Detection, By Chentao Cao et al.
Summary of Expected Possession Value Of Control and Duel Actions For Soccer Player’s Skills Estimation, by Andrei Shelopugin
Summary of Covariance-adaptive Sequential Black-box Optimization For Diffusion Targeted Generation, by Yueming Lyu et al.
Summary of Invisible Backdoor Attacks on Diffusion Models, by Sen Li et al.
Summary of Lasso Bandit with Compatibility Condition on Optimal Arm, by Harin Lee et al.
Summary of Bonbon Alignment For Large Language Models and the Sweetness Of Best-of-n Sampling, by Lin Gui et al.
Summary of Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates, by Thom Badings et al.
Summary of Linklogic: a New Method and Benchmark For Explainable Knowledge Graph Predictions, by Niraj Kumar-singh et al.
Summary of Local Methods with Adaptivity Via Scaling, by Savelii Chezhegov et al.
Summary of Distildire: a Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection, by Yewon Lim et al.
Summary of Dual Policy Reinforcement Learning For Real-time Rebalancing in Bike-sharing Systems, by Jiaqi Liang et al.
Summary of Reservoir History Matching Of the Norne Field with Generative Exotic Priors and a Coupled Mixture Of Experts — Physics Informed Neural Operator Forward Model, by Clement Etienam et al.
Summary of A Multi-graph Convolutional Neural Network Model For Short-term Prediction Of Turning Movements at Signalized Intersections, by Jewel Rana Palit et al.
Summary of Transforming Computer Security and Public Trust Through the Exploration Of Fine-tuning Large Language Models, by Garrett Crumrine et al.
Summary of On Non-asymptotic Theory Of Recurrent Neural Networks in Temporal Point Processes, by Zhiheng Chen and Guanhua Fang and Wen Yu
Summary of Improving Gflownets For Text-to-image Diffusion Alignment, by Dinghuai Zhang et al.
Summary of Furl: Visual-language Models As Fuzzy Rewards For Reinforcement Learning, by Yuwei Fu et al.
Summary of Generalized Exponentiated Gradient Algorithms and Their Application to On-line Portfolio Selection, by Andrzej Cichocki et al.
Summary of Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift, by Jiayun Wu et al.
Summary of Simsam: Zero-shot Medical Image Segmentation Via Simulated Interaction, by Benjamin Towle et al.
Summary of Learning Multimodal Behaviors From Scratch with Diffusion Policy Gradient, by Zechu Li et al.
Summary of Improving Accuracy-robustness Trade-off Via Pixel Reweighted Adversarial Training, by Jiacheng Zhang et al.
Summary of Logistic Variational Bayes Revisited, by Michael Komodromos et al.
Summary of Gladformer: a Mixed Perspective For Graph-level Anomaly Detection, by Fan Xu et al.
Summary of Global Rewards in Restless Multi-armed Bandits, by Naveen Raman et al.
Summary of Learning to Play 7 Wonders Duel Without Human Supervision, by Giovanni Paolini et al.
Summary of Augmenting the Fedprox Algorithm by Minimizing Convergence, By Anomitra Sarkar and Lavanya Vajpayee
Summary of Freeplane: Unlocking Free Lunch in Triplane-based Sparse-view Reconstruction Models, by Wenqiang Sun et al.
Summary of Evaluating Mathematical Reasoning Of Large Language Models: a Focus on Error Identification and Correction, by Xiaoyuan Li et al.
Summary of Iene: Identifying and Extrapolating the Node Environment For Out-of-distribution Generalization on Graphs, by Haoran Yang et al.
Summary of Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning, by Po-shao Lin et al.
Summary of Scaling Tractable Probabilistic Circuits: a Systems Perspective, by Anji Liu et al.
Summary of Learning Discrete Concepts in Latent Hierarchical Models, by Lingjing Kong et al.
Summary of Adaptive Boosting with Dynamic Weight Adjustment, by Vamsi Sai Ranga Sri Harsha Mangina
Summary of On the Use Of Anchoring For Training Vision Models, by Vivek Narayanaswamy et al.
Summary of Breast Cancer Diagnosis: a Comprehensive Exploration Of Explainable Artificial Intelligence (xai) Techniques, by Samita Bai et al.
Summary of Leveraging Knowlegde Graphs For Interpretable Feature Generation, by Mohamed Bouadi and Arta Alavi and Salima Benbernou and Mourad Ouziri
Summary of Confine: Conformal Prediction For Interpretable Neural Networks, by Linhui Huang et al.
Summary of Causal Contrastive Learning For Counterfactual Regression Over Time, by Mouad El Bouchattaoui et al.
Summary of Lidao: Towards Limited Interventions For Debiasing (large) Language Models, by Tianci Liu et al.
Summary of Strategic Linear Contextual Bandits, by Thomas Kleine Buening et al.
Summary of Graph Neural Network Training Systems: a Performance Comparison Of Full-graph and Mini-batch, by Saurabh Bajaj and Hojae Son and Juelin Liu and Hui Guan and Marco Serafini
Summary of Learning to Approximate Particle Smoothing Trajectories Via Diffusion Generative Models, by Ella Tamir and Arno Solin
Summary of An Unsupervised Approach For Periodic Source Detection in Time Series, by Berken Utku Demirel and Christian Holz
Summary of Redefining Contributions: Shapley-driven Federated Learning, by Nurbek Tastan et al.
Summary of Voice: Variance Of Induced Contrastive Explanations to Quantify Uncertainty in Neural Network Interpretability, by Mohit Prabhushankar and Ghassan Alregib
Summary of Contextflow++: Generalist-specialist Flow-based Generative Models with Mixed-variable Context Encoding, by Denis Gudovskiy et al.
Summary of Generalization Bound and New Algorithm For Clean-label Backdoor Attack, by Lijia Yu and Shuang Liu and Yibo Miao and Xiao-shan Gao and Lijun Zhang