Paper List

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Summary of Machine Learning Training Optimization Using the Barycentric Correction Procedure, by Sofia Ramos-pulido et al.
Summary of Indirectly Parameterized Concrete Autoencoders, by Alfred Nilsson et al.
Summary of Imitation Learning Datasets: a Toolkit For Creating Datasets, Training Agents and Benchmarking, by Nathan Gavenski et al.
Summary of Causal Graph Ode: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems, by Zijie Huang et al.
Summary of Entry-specific Bounds For Low-rank Matrix Completion Under Highly Non-uniform Sampling, by Xumei Xi et al.
Summary of Ask Your Distribution Shift If Pre-training Is Right For You, by Benjamin Cohen-wang et al.
Summary of Impact Of Decentralized Learning on Player Utilities in Stackelberg Games, by Kate Donahue et al.
Summary of Axolotl: Fairness Through Assisted Self-debiasing Of Large Language Model Outputs, by Sana Ebrahimi et al.
Summary of Learning to Find Missing Video Frames with Synthetic Data Augmentation: a General Framework and Application in Generating Thermal Images Using Rgb Cameras, by Mathias Viborg Andersen et al.
Summary of Efficient Reinforcement Learning For Global Decision Making in the Presence Of Local Agents at Scale, by Emile Anand et al.
Summary of Improving Socratic Question Generation Using Data Augmentation and Preference Optimization, by Nischal Ashok Kumar et al.
Summary of Transcription and Translation Of Videos Using Fine-tuned Xlsr Wav2vec2 on Custom Dataset and Mbart, by Aniket Tathe et al.
Summary of Robust Policy Learning Via Offline Skill Diffusion, by Woo Kyung Kim et al.
Summary of Causal Bandits with General Causal Models and Interventions, by Zirui Yan et al.
Summary of Benchmarking Zero-shot Stance Detection with Flant5-xxl: Insights From Training Data, Prompting, and Decoding Strategies Into Its Near-sota Performance, by Rachith Aiyappa et al.
Summary of Cloud-based Federated Learning Framework For Mri Segmentation, by Rukesh Prajapati and Amr S. El-wakeel
Summary of Robust Deep Labeling Of Radiological Emphysema Subtypes Using Squeeze and Excitation Convolutional Neural Networks: the Mesa Lung and Spiromics Studies, by Artur Wysoczanski et al.
Summary of “lossless” Compression Of Deep Neural Networks: a High-dimensional Neural Tangent Kernel Approach, by Lingyu Gu et al.
Summary of Large Convolutional Model Tuning Via Filter Subspace, by Wei Chen et al.
Summary of Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations For Recognition and Retrieval, by Rohan Sarkar et al.
Summary of Graph Construction with Flexible Nodes For Traffic Demand Prediction, by Jinyan Hou et al.
Summary of Conflict-averse Gradient Aggregation For Constrained Multi-objective Reinforcement Learning, by Dohyeong Kim et al.
Summary of Shifted Interpolation For Differential Privacy, by Jinho Bok et al.
Summary of Introducing User Feedback-based Counterfactual Explanations (ufce), by Muhammad Suffian et al.
Summary of Prioritizing Informative Features and Examples For Deep Learning From Noisy Data, by Dongmin Park
Summary of Deep Sensitivity Analysis For Objective-oriented Combinatorial Optimization, by Ganga Gireesan et al.
Summary of Towards Interpreting Multi-objective Feature Associations, by Nisha Pillai et al.
Summary of Transformer-based Parameter Estimation in Statistics, by Xiaoxin Yin and David S. Yin
Summary of Flowcyt: a Comparative Study Of Deep Learning Approaches For Multi-class Classification in Flow Cytometry Benchmarking, by Lorenzo Bini et al.
Summary of On the Challenges and Opportunities in Generative Ai, by Laura Manduchi et al.
Summary of Learning to Deliver: a Foundation Model For the Montreal Capacitated Vehicle Routing Problem, by Samuel J. K. Chin et al.
Summary of Influencing Bandits: Arm Selection For Preference Shaping, by Viraj Nadkarni and D. Manjunath and Sharayu Moharir
Summary of Global and Local Prompts Cooperation Via Optimal Transport For Federated Learning, by Hongxia Li et al.
Summary of On Robustness and Generalization Of Ml-based Congestion Predictors to Valid and Imperceptible Perturbations, by Chester Holtz et al.
Summary of Federated Linear Contextual Bandits with Heterogeneous Clients, by Ethan Blaser et al.
Summary of Longitudinal Counterfactuals: Constraints and Opportunities, by Alexander Asemota and Giles Hooker
Summary of Units: a Unified Multi-task Time Series Model, by Shanghua Gao et al.
Summary of Tree-averaging Algorithms For Ensemble-based Unsupervised Discontinuous Constituency Parsing, by Behzad Shayegh et al.
Summary of Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space, by Mahsa Mozafari-nia and Salimeh Yasaei Sekeh
Summary of Ebbs: An Ensemble with Bi-level Beam Search For Zero-shot Machine Translation, by Yuqiao Wen et al.
Summary of Privacy-preserving Distributed Optimization and Learning, by Ziqin Chen and Yongqiang Wang
Summary of Teleclass: Taxonomy Enrichment and Llm-enhanced Hierarchical Text Classification with Minimal Supervision, by Yunyi Zhang et al.
Summary of Med-real2sim: Non-invasive Medical Digital Twins Using Physics-informed Self-supervised Learning, by Keying Kuang et al.
Summary of Stiefelgen: a Simple, Model Agnostic Approach For Time Series Data Augmentation Over Riemannian Manifolds, by Prasad Cheema et al.
Summary of Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes, by Ying Fu et al.
Summary of Anomaly Detection in Offshore Wind Turbine Structures Using Hierarchical Bayesian Modelling, by S. M. Smith et al.
Summary of An Ai Based Digital Score Of Tumour-immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma, by Quoc Dang Vu et al.
Summary of Rl-gpt: Integrating Reinforcement Learning and Code-as-policy, by Shaoteng Liu et al.
Summary of Learnability Gaps Of Strategic Classification, by Lee Cohen et al.
Summary of Loss-free Machine Unlearning, by Jack Foster et al.
Summary of Verification Of Neural Networks’ Global Robustness, by Anan Kabaha et al.
Summary of Deep Learning For Cross-domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook, by Xingchen Zou et al.
Summary of A Scalable and Transferable Time Series Prediction Framework For Demand Forecasting, by Young-jin Park et al.
Summary of Structure Preserving Diffusion Models, by Haoye Lu et al.
Summary of Griffin: Mixing Gated Linear Recurrences with Local Attention For Efficient Language Models, by Soham De et al.
Summary of Differentially Private Worst-group Risk Minimization, by Xinyu Zhou et al.
Summary of Training Dynamics Of Multi-head Softmax Attention For In-context Learning: Emergence, Convergence, and Optimality, by Siyu Chen et al.
Summary of Archer: Training Language Model Agents Via Hierarchical Multi-turn Rl, by Yifei Zhou et al.
Summary of Heavy-tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models, by Frederik Kunstner et al.
Summary of Listening to the Noise: Blind Denoising with Gibbs Diffusion, by David Heurtel-depeiges et al.
Summary of Curiosity-driven Red-teaming For Large Language Models, by Zhang-wei Hong et al.
Summary of Efficient Lifelong Model Evaluation in An Era Of Rapid Progress, by Ameya Prabhu et al.
Summary of Preroutgnn For Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling, by Ruizhe Zhong et al.
Summary of Generating Graphs Via Spectral Diffusion, by Giorgia Minello et al.
Summary of Negative-binomial Randomized Gamma Markov Processes For Heterogeneous Overdispersed Count Time Series, by Rui Huang et al.
Summary of Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-decoding, by Guangyi Liu et al.
Summary of Sprifed-omp: a Differentially Private Federated Learning Algorithm For Sparse Basis Recovery, by Ajinkya Kiran Mulay et al.
Summary of Theoretical Foundations Of Deep Selective State-space Models, by Nicola Muca Cirone et al.
Summary of Timexer: Empowering Transformers For Time Series Forecasting with Exogenous Variables, by Yuxuan Wang et al.
Summary of Smooth Tchebycheff Scalarization For Multi-objective Optimization, by Xi Lin et al.
Summary of Best Arm Identification with Resource Constraints, by Zitian Li et al.
Summary of Flatnas: Optimizing Flatness in Neural Architecture Search For Out-of-distribution Robustness, by Matteo Gambella et al.
Summary of Collafuse: Navigating Limited Resources and Privacy in Collaborative Generative Ai, by Domenique Zipperling et al.
Summary of Beyond Language Models: Byte Models Are Digital World Simulators, by Shangda Wu et al.
Summary of Protop-od: Explainable Object Detection with Prototypical Parts, by Pavlos Rath-manakidis et al.
Summary of Fine Structure-aware Sampling: a New Sampling Training Scheme For Pixel-aligned Implicit Models in Single-view Human Reconstruction, by Kennard Yanting Chan et al.
Summary of Investigating Gender Fairness in Machine Learning-driven Personalized Care For Chronic Pain, by Pratik Gajane and Sean Newman and Mykola Pechenizkiy and John D. Piette
Summary of Trained Random Forests Completely Reveal Your Dataset, by Julien Ferry et al.
Summary of Derivative-enhanced Deep Operator Network, by Yuan Qiu et al.
Summary of Machine Learning For Modular Multiplication, by Kristin Lauter et al.
Summary of Learning Logic Specifications For Policy Guidance in Pomdps: An Inductive Logic Programming Approach, by Daniele Meli et al.
Summary of Masks, Signs, and Learning Rate Rewinding, by Advait Gadhikar and Rebekka Burkholz
Summary of Estimation and Deconvolution Of Second Order Cyclostationary Signals, by Igor Makienko et al.
Summary of Batch Size Invariant Adam, by Xi Wang et al.
Summary of A Model-based Approach For Improving Reinforcement Learning Efficiency Leveraging Expert Observations, by Erhan Can Ozcan et al.
Summary of Extended Flow Matching: a Method Of Conditional Generation with Generalized Continuity Equation, by Noboru Isobe et al.
Summary of Multi-fidelity Residual Neural Processes For Scalable Surrogate Modeling, by Ruijia Niu et al.
Summary of Applications Of 0-1 Neural Networks in Prescription and Prediction, by Vrishabh Patil et al.
Summary of Taking Second-life Batteries From Exhausted to Empowered Using Experiments, Data Analysis, and Health Estimation, by Xiaofan Cui et al.
Summary of Rethinking Multi-domain Generalization with a General Learning Objective, by Zhaorui Tan et al.
Summary of Probabilistic Lipschitzness and the Stable Rank For Comparing Explanation Models, by Lachlan Simpson et al.
Summary of Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning, by Weijieying Ren et al.
Summary of Dr. Strategy: Model-based Generalist Agents with Strategic Dreaming, by Hany Hamed et al.
Summary of Loss-aware Curriculum Learning For Heterogeneous Graph Neural Networks, by Zhen Hao Wong et al.
Summary of Bp-deeponet: a New Method For Cuffless Blood Pressure Estimation Using the Physcis-informed Deeponet, by Lingfeng Li and Xue-cheng Tai and Raymond Chan
Summary of Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features, by Tina Behnia et al.
Summary of Uncertainty-based Extensible Codebook For Discrete Federated Learning in Heterogeneous Data Silos, by Tianyi Zhang et al.
Summary of On the Convergence Of Differentially-private Fine-tuning: to Linearly Probe or to Fully Fine-tune?, by Shuqi Ke et al.
Summary of Stop Relying on No-choice and Do Not Repeat the Moves: Optimal, Efficient and Practical Algorithms For Assortment Optimization, by Aadirupa Saha et al.
Summary of Digic: Domain Generalizable Imitation Learning by Causal Discovery, By Yang Chen et al.