Paper List

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Summary of How to Collaborate: Towards Maximizing the Generalization Performance in Cross-silo Federated Learning, by Yuchang Sun and Marios Kountouris and Jun Zhang
Summary of Refreshnet: Learning Multiscale Dynamics Through Hierarchical Refreshing, by Junaid Farooq et al.
Summary of Adaptive Crowdsourcing Via Self-supervised Learning, by Anmol Kagrecha et al.
Summary of Mapping: Debiasing Graph Neural Networks For Fair Node Classification with Limited Sensitive Information Leakage, by Ying Song and Balaji Palanisamy
Summary of Enhancing Next Destination Prediction: a Novel Long Short-term Memory Neural Network Approach Using Real-world Airline Data, by Salih Salihoglu et al.
Summary of Evaluating Collaborative and Autonomous Agents in Data-stream-supported Coordination Of Mobile Crowdsourcing, by Ralf Bruns et al.
Summary of Deep Multitask Neural Networks For Solving Some Stochastic Optimal Control Problems, by Christian Yeo
Summary of Performance Analysis Of Support Vector Machine (svm) on Challenging Datasets For Forest Fire Detection, by Ankan Kar et al.
Summary of Dsdm: Model-aware Dataset Selection with Datamodels, by Logan Engstrom et al.
Summary of Pyaki — An Open Source Solution to Automated Kdigo Classification, by Christian Porschen et al.
Summary of Reward-relevance-filtered Linear Offline Reinforcement Learning, by Angela Zhou
Summary of Bayesian Semi-structured Subspace Inference, by Daniel Dold et al.
Summary of On the Efficacy Of Text-based Input Modalities For Action Anticipation, by Apoorva Beedu et al.
Summary of Telme: Teacher-leading Multimodal Fusion Network For Emotion Recognition in Conversation, by Taeyang Yun et al.
Summary of Topic Modelling: Going Beyond Token Outputs, by Lowri Williams et al.
Summary of A Comparison Of Veterans with Problematic Opioid Use Identified Through Natural Language Processing Of Clinical Notes Versus Using Diagnostic Codes, by Terri Elizabeth Workman et al.
Summary of Cimgen: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data, By Chandrakanth Gudavalli et al.
Summary of Comparative Study Of Causal Discovery Methods For Cyclic Models with Hidden Confounders, by Boris Lorbeer et al.
Summary of Locality Sensitive Sparse Encoding For Learning World Models Online, by Zichen Liu et al.
Summary of Inditext Boost: Text Augmentation For Low Resource India Languages, by Onkar Litake et al.
Summary of Assessment Of Sports Concussion in Female Athletes: a Role For Neuroinformatics?, by Rachel Edelstein et al.
Summary of Towards Trustable Language Models: Investigating Information Quality Of Large Language Models, by Rick Rejeleene et al.
Summary of Probabilistic Demand Forecasting with Graph Neural Networks, by Nikita Kozodoi et al.
Summary of Prompt Smells: An Omen For Undesirable Generative Ai Outputs, by Krishna Ronanki et al.
Summary of Knowledge Distillation From Language-oriented to Emergent Communication For Multi-agent Remote Control, by Yongjun Kim et al.
Summary of The Joint Effect Of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model, by Daniel Goldfarb et al.
Summary of A Reply to Makelov Et Al. (2023)’s “interpretability Illusion” Arguments, by Zhengxuan Wu and Atticus Geiger and Jing Huang and Aryaman Arora and Thomas Icard and Christopher Potts and Noah D. Goodman
Summary of Binary Feature Mask Optimization For Feature Selection, by Mehmet E. Lorasdagi et al.
Summary of Consistency Enhancement-based Deep Multiview Clustering Via Contrastive Learning, by Hao Yang et al.
Summary of Feature Selection Via Robust Weighted Score For High Dimensional Binary Class-imbalanced Gene Expression Data, by Zardad Khan et al.
Summary of Non-neighbors Also Matter to Kriging: a New Contrastive-prototypical Learning, by Zhishuai Li et al.
Summary of Energy-based Automated Model Evaluation, by Ru Peng et al.
Summary of Deep Neural Network Benchmarks For Selective Classification, by Andrea Pugnana and Lorenzo Perini and Jesse Davis and Salvatore Ruggieri
Summary of Falcon: Fair Active Learning Using Multi-armed Bandits, by Ki Hyun Tae et al.
Summary of Enhancing Object Detection Performance For Small Objects Through Synthetic Data Generation and Proportional Class-balancing Technique: a Comparative Study in Industrial Scenarios, by Jibinraj Antony and Vinit Hegiste and Ali Nazeri and Hooman Tavakoli and Snehal Walunj and Christiane Plociennik and Martin Ruskowski
Summary of The Distributional Uncertainty Of the Shap Score in Explainable Machine Learning, by Santiago Cifuentes and Leopoldo Bertossi and Nina Pardal and Sergio Abriola and Maria Vanina Martinez and Miguel Romero
Summary of On the Utility Of Probing Trajectories For Algorithm-selection, by Quentin Renau and Emma Hart
Summary of Deepricci: Self-supervised Graph Structure-feature Co-refinement For Alleviating Over-squashing, by Li Sun et al.
Summary of A Review Of Deep Learning Methods For Photoplethysmography Data, by Guangkun Nie et al.
Summary of Morph: Towards Automated Concept Drift Adaptation For Malware Detection, by Md Tanvirul Alam et al.
Summary of Binary Structured Physics-informed Neural Networks For Solving Equations with Rapidly Changing Solutions, by Yanzhi Liu and Ruifan Wu and Ying Jiang
Summary of Dynamic Layer Tying For Parameter-efficient Transformers, by Tamir David Hay et al.
Summary of Learning Safety Critics Via a Non-contractive Binary Bellman Operator, by Agustin Castellano et al.
Summary of Large Language Models Are Superpositions Of All Characters: Attaining Arbitrary Role-play Via Self-alignment, by Keming Lu et al.
Summary of Bayesian Identification Of Nonseparable Hamiltonians with Multiplicative Noise Using Deep Learning and Reduced-order Modeling, by Nicholas Galioto et al.
Summary of Mini-batch Submodular Maximization, by Gregory Schwartzman
Summary of Adiabatic Quantum Support Vector Machines, by Prasanna Date et al.
Summary of Unsupervised Learning Method For the Wave Equation Based on Finite Difference Residual Constraints Loss, by Xin Feng et al.
Summary of Comparing Pre-trained Human Language Models: Is It Better with Human Context As Groups, Individual Traits, or Both?, by Nikita Soni et al.
Summary of On the Stochastic (variance-reduced) Proximal Gradient Method For Regularized Expected Reward Optimization, by Ling Liang and Haizhao Yang
Summary of Building Minimal and Reusable Causal State Abstractions For Reinforcement Learning, by Zizhao Wang et al.
Summary of Ddmi: Domain-agnostic Latent Diffusion Models For Synthesizing High-quality Implicit Neural Representations, by Dogyun Park et al.
Summary of Bita: Bi-directional Tuning For Lossless Acceleration in Large Language Models, by Feng Lin et al.
Summary of Dafa: Distance-aware Fair Adversarial Training, by Hyungyu Lee et al.
Summary of Key Information Retrieval to Classify the Unstructured Data Content Of Preferential Trade Agreements, by Jiahui Zhao et al.
Summary of Near-optimal Algorithms For Constrained K-center Clustering with Instance-level Background Knowledge, by Longkun Guo et al.
Summary of On Building Myopic Mpc Policies Using Supervised Learning, by Christopher A. Orrico et al.
Summary of Ur4nnv: Neural Network Verification, Under-approximation Reachability Works!, by Zhen Liang et al.
Summary of Graph Contrastive Invariant Learning From the Causal Perspective, by Yanhu Mo et al.
Summary of Interpreting Equivariant Representations, by Andreas Abildtrup Hansen et al.
Summary of Fast Semisupervised Unmixing Using Nonconvex Optimization, by Behnood Rasti (hzdr) et al.
Summary of Llmcheckup: Conversational Examination Of Large Language Models Via Interpretability Tools and Self-explanations, by Qianli Wang et al.
Summary of The Twin Peaks Of Learning Neural Networks, by Elizaveta Demyanenko et al.
Summary of Orion-14b: Open-source Multilingual Large Language Models, by Du Chen et al.
Summary of Large-scale Reinforcement Learning For Diffusion Models, by Yinan Zhang et al.
Summary of Transfer Learning For Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure, by T. Tony Cai and Hongming Pu
Summary of Transfer Learning-assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks, by Liang Cheng and Prashant Singh and Francesco Ferranti
Summary of A Precise Characterization Of Sgd Stability Using Loss Surface Geometry, by Gregory Dexter et al.
Summary of Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning For Target Annotation, by Shoaib Meraj Sami et al.
Summary of Oct-selfnet: a Self-supervised Framework with Multi-modal Datasets For Generalized and Robust Retinal Disease Detection, by Fatema-e Jannat et al.
Summary of Scaling Up Quantization-aware Neural Architecture Search For Efficient Deep Learning on the Edge, by Yao Lu et al.
Summary of Vc Dimension Of Graph Neural Networks with Pfaffian Activation Functions, by Giuseppe Alessio D’inverno et al.
Summary of Subgroupte: Advancing Treatment Effect Estimation with Subgroup Identification, by Seungyeon Lee et al.
Summary of Efficient Collaborations Through Weight-driven Coalition Dynamics in Federated Learning Systems, by Mohammed El Hanjri et al.
Summary of Enhancing In-context Learning Via Linear Probe Calibration, by Momin Abbas and Yi Zhou and Parikshit Ram and Nathalie Baracaldo and Horst Samulowitz and Theodoros Salonidis and Tianyi Chen
Summary of Longitudinal Sentiment Classification Of Reddit Posts, by Fabian Nwaoha et al.
Summary of How Far Can 100 Samples Go? Unlocking Overall Zero-shot Multilingual Translation Via Tiny Multi-parallel Data, by Di Wu et al.
Summary of Towards Improved Variational Inference For Deep Bayesian Models, by Sebastian W. Ober
Summary of Enhancing Reliability Of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations, by Soyed Tuhin Ahmed et al.
Summary of Quantitative Analysis Of Molecular Transport in the Extracellular Space Using Physics-informed Neural Network, by Jiayi Xie et al.
Summary of The Neglected Tails in Vision-language Models, by Shubham Parashar et al.
Summary of Wasserstein Differential Privacy, by Chengyi Yang et al.
Summary of Reinforcement Learning For Graph Coloring: Understanding the Power and Limits Of Non-label Invariant Representations, by Chase Cummins and Richard Veras
Summary of Robustness to Distribution Shifts Of Compressed Networks For Edge Devices, by Lulan Shen et al.
Summary of The Dimension Strikes Back with Gradients: Generalization Of Gradient Methods in Stochastic Convex Optimization, by Matan Schliserman and Uri Sherman and Tomer Koren
Summary of Turbosvm-fl: Boosting Federated Learning Through Svm Aggregation For Lazy Clients, by Mengdi Wang et al.
Summary of Momentum-sam: Sharpness Aware Minimization Without Computational Overhead, by Marlon Becker et al.
Summary of Spotting Llms with Binoculars: Zero-shot Detection Of Machine-generated Text, by Abhimanyu Hans et al.
Summary of Beyond Treeshap: Efficient Computation Of Any-order Shapley Interactions For Tree Ensembles, by Maximilian Muschalik et al.
Summary of Extracting Formulae in Many-valued Logic From Deep Neural Networks, by Yani Zhang et al.
Summary of Out-of-distribution Detection & Applications with Ablated Learned Temperature Energy, by Will Levine et al.
Summary of Evaluation Of Qcnn-lstm For Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence Mri, by John D. Mayfield and Issam El Naqa
Summary of Spatialvlm: Endowing Vision-language Models with Spatial Reasoning Capabilities, by Boyuan Chen et al.
Summary of Apt: Adaptive Pruning and Tuning Pretrained Language Models For Efficient Training and Inference, by Bowen Zhao et al.
Summary of Universal Neurons in Gpt2 Language Models, by Wes Gurnee et al.
Summary of Retrieval-guided Reinforcement Learning For Boolean Circuit Minimization, by Animesh Basak Chowdhury et al.
Summary of Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning, by Philip Amortila et al.
Summary of Exploring Simple Open-vocabulary Semantic Segmentation, by Zihang Lai
Summary of Memorization in Self-supervised Learning Improves Downstream Generalization, by Wenhao Wang et al.
Summary of Stochastic Dynamic Power Dispatch with High Generalization and Few-shot Adaption Via Contextual Meta Graph Reinforcement Learning, by Bairong Deng et al.