Paper List

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Summary of An Automated Machine Learning Approach to Inkjet Printed Component Analysis: a Step Toward Smart Additive Manufacturing, by Abhishek Sahu et al.
Summary of Hypertts: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks, by Yingting Li et al.
Summary of Binary Classifier Optimization For Large Language Model Alignment, by Seungjae Jung et al.
Summary of Transform Then Explore: a Simple and Effective Technique For Exploratory Combinatorial Optimization with Reinforcement Learning, by Tianle Pu et al.
Summary of Translation-based Video-to-video Synthesis, by Pratim Saha and Chengcui Zhang
Summary of Designing For Human-agent Alignment: Understanding What Humans Want From Their Agents, by Nitesh Goyal et al.
Summary of Transducers with Pronunciation-aware Embeddings For Automatic Speech Recognition, by Hainan Xu et al.
Summary of Investigating Regularization Of Self-play Language Models, by Reda Alami et al.
Summary of Self-[in]correct: Llms Struggle with Discriminating Self-generated Responses, by Dongwei Jiang et al.
Summary of Visual Knowledge in the Big Model Era: Retrospect and Prospect, by Wenguan Wang et al.
Summary of A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Threshold, by Sarit Maitra et al.
Summary of Half-space Feature Learning in Neural Networks, by Mahesh Lorik Yadav et al.
Summary of Faraday: Synthetic Smart Meter Generator For the Smart Grid, by Sheng Chai and Gus Chadney
Summary of Parameter Efficient Quasi-orthogonal Fine-tuning Via Givens Rotation, by Xinyu Ma et al.
Summary of Assisting Humans in Complex Comparisons: Automated Information Comparison at Scale, by Truman Yuen et al.
Summary of Deeplink-t: Deep Learning Inference For Time Series Data Using Knockoffs and Lstm, by Wenxuan Zuo et al.
Summary of Hypothesis Generation with Large Language Models, by Yangqiaoyu Zhou et al.
Summary of Pixel-wise Rl on Diffusion Models: Reinforcement Learning From Rich Feedback, by Mo Kordzanganeh et al.
Summary of Prompt Public Large Language Models to Synthesize Data For Private On-device Applications, by Shanshan Wu et al.
Summary of Eclipse: Efficient Compositional Lipschitz Constant Estimation For Deep Neural Networks, by Yuezhu Xu et al.
Summary of Dynamic Switch Layers For Unsupervised Learning, by Haiguang Li et al.
Summary of Longitudinal Targeted Minimum Loss-based Estimation with Temporal-difference Heterogeneous Transformer, by Toru Shirakawa et al.
Summary of Bayesian Additive Regression Networks, by Danielle Van Boxel
Summary of Robust Few-shot Ensemble Learning with Focal Diversity-based Pruning, by Selim Furkan Tekin et al.
Summary of Does Biomedical Training Lead to Better Medical Performance?, by Amin Dada et al.
Summary of Derivative-free Tree Optimization For Complex Systems, by Ye Wei et al.
Summary of Hierarchical Neural Additive Models For Interpretable Demand Forecasts, by Leif Feddersen et al.
Summary of Ropo: Robust Preference Optimization For Large Language Models, by Xize Liang et al.
Summary of Intervention-assisted Policy Gradient Methods For Online Stochastic Queuing Network Optimization: Technical Report, by Jerrod Wigmore et al.
Summary of Large Language Models As Oracles For Instantiating Ontologies with Domain-specific Knowledge, by Giovanni Ciatto and Andrea Agiollo and Matteo Magnini and Andrea Omicini
Summary of The Unreasonable Effectiveness Of Early Discarding After One Epoch in Neural Network Hyperparameter Optimization, by Romain Egele et al.
Summary of Gnnbench: Fair and Productive Benchmarking For Single-gpu Gnn System, by Yidong Gong and Pradeep Kumar
Summary of No “zero-shot” Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance, by Vishaal Udandarao et al.
Summary of Context-aware Aerial Object Detection: Leveraging Inter-object and Background Relationships, by Botao Ren et al.
Summary of Generalizable Temperature Nowcasting with Physics-constrained Rnns For Predictive Maintenance Of Wind Turbine Components, by Johannes Exenberger et al.
Summary of Do Sentence Transformers Learn Quasi-geospatial Concepts From General Text?, by Ilya Ilyankou et al.
Summary of Enhancing Iot Intelligence: a Transformer-based Reinforcement Learning Methodology, by Gaith Rjoub et al.
Summary of Exploring Probabilistic Models For Semi-supervised Learning, by Jianfeng Wang
Summary of Player2vec: a Language Modeling Approach to Understand Player Behavior in Games, by Tianze Wang et al.
Summary of Active Causal Learning For Decoding Chemical Complexities with Targeted Interventions, by Zachary R. Fox and Ayana Ghosh
Summary of Dynamic Conditional Optimal Transport Through Simulation-free Flows, by Gavin Kerrigan et al.
Summary of Physical Property Understanding From Language-embedded Feature Fields, by Albert J. Zhai et al.
Summary of Growing Q-networks: Solving Continuous Control Tasks with Adaptive Control Resolution, by Tim Seyde et al.
Summary of Bias Amplification in Language Model Evolution: An Iterated Learning Perspective, by Yi Ren et al.
Summary of Bishop: Bi-directional Cellular Learning For Tabular Data with Generalized Sparse Modern Hopfield Model, by Chenwei Xu et al.
Summary of Distributionally Robust Alignment For Medical Federated Vision-language Pre-training Under Data Heterogeneity, by Zitao Shuai et al.
Summary of Ffn-skipllm: a Hidden Gem For Autoregressive Decoding with Adaptive Feed Forward Skipping, by Ajay Jaiswal et al.
Summary of Extract, Define, Canonicalize: An Llm-based Framework For Knowledge Graph Construction, by Bowen Zhang and Harold Soh
Summary of Optimizing Convolutional Neural Networks For Identifying Invasive Pollinator Apis Mellifera and Finding a Ligand Drug to Protect California’s Biodiversity, by Arnav Swaroop
Summary of Heterogeneous Multi-agent Reinforcement Learning For Zero-shot Scalable Collaboration, by Xudong Guo et al.
Summary of Accurately Classifying Out-of-distribution Data in Facial Recognition, by Gianluca Barone and Aashrit Cunchala and Rudy Nunez
Summary of A Proximal Policy Optimization Based Intelligent Home Solar Management, by Kode Creer et al.
Summary of Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration Of Convolutional Neural Networks and Explainable Ai, by Maryam Ahmed et al.
Summary of Voltavision: a Transfer Learning Model For Electronic Component Classification, by Anas Mohammad Ishfaqul Muktadir Osmani et al.
Summary of Nonparametric Modern Hopfield Models, by Jerry Yao-chieh Hu et al.
Summary of Multi-task Learning For Lung Sound & Lung Disease Classification, by Suma K V et al.
Summary of Concept Weaver: Enabling Multi-concept Fusion in Text-to-image Models, by Gihyun Kwon et al.
Summary of Transformers For Molecular Property Prediction: Lessons Learned From the Past Five Years, by Afnan Sultan et al.
Summary of Deep Learning For Satellite Image Time Series Analysis: a Review, by Lynn Miller et al.
Summary of Model Selection with Model Zoo Via Graph Learning, by Ziyu Li et al.
Summary of Demonstration Guided Multi-objective Reinforcement Learning, by Junlin Lu et al.
Summary of Rolling the Dice For Better Deep Learning Performance: a Study Of Randomness Techniques in Deep Neural Networks, by Mohammed Ghaith Altarabichi et al.
Summary of Approximate Umap Allows For High-rate Online Visualization Of High-dimensional Data Streams, by Peter Wassenaar et al.
Summary of Score Identity Distillation: Exponentially Fast Distillation Of Pretrained Diffusion Models For One-step Generation, by Mingyuan Zhou et al.
Summary of Stream Of Search (sos): Learning to Search in Language, by Kanishk Gandhi et al.
Summary of Drive: Dual Gradient-based Rapid Iterative Pruning, by Dhananjay Saikumar et al.
Summary of Predictive Analytics Of Varieties Of Potatoes, by Fabiana Ferracina et al.
Summary of Improve Knowledge Distillation Via Label Revision and Data Selection, by Weichao Lan et al.
Summary of Improvement Of Performance in Freezing Of Gait Detection in Parkinsons Disease Using Transformer Networks and a Single Waist Worn Triaxial Accelerometer, by Luis Sigcha et al.
Summary of Personalized Federated Learning For Spatio-temporal Forecasting: a Dual Semantic Alignment-based Contrastive Approach, by Qingxiang Liu et al.
Summary of Investigating the Robustness Of Counterfactual Learning to Rank Models: a Reproducibility Study, by Zechun Niu et al.
Summary of Self-organized Free-flight Arrival For Urban Air Mobility, by Martin Waltz et al.
Summary of Explaining Explainability: Recommendations For Effective Use Of Concept Activation Vectors, by Angus Nicolson et al.
Summary of Localized Distributional Robustness in Submodular Multi-task Subset Selection, by Ege C. Kaya et al.
Summary of Direct Nash Optimization: Teaching Language Models to Self-improve with General Preferences, by Corby Rosset et al.
Summary of Covariate-elaborated Robust Partial Information Transfer with Conditional Spike-and-slab Prior, by Ruqian Zhang et al.
Summary of Exploration Is Harder Than Prediction: Cryptographically Separating Reinforcement Learning From Supervised Learning, by Noah Golowich et al.
Summary of A Systems Theoretic Approach to Online Machine Learning, by Anli Du Preez et al.
Summary of Learning Social Fairness Preferences From Non-expert Stakeholder Opinions in Kidney Placement, by Mukund Telukunta et al.
Summary of A Layer Selection Approach to Test Time Adaptation, by Sabyasachi Sahoo et al.
Summary of Transformerlsr: Attentive Joint Model Of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure, by Zhiyue Zhang et al.
Summary of Uniform Memory Retrieval with Larger Capacity For Modern Hopfield Models, by Dennis Wu et al.
Summary of Outlier-efficient Hopfield Layers For Large Transformer-based Models, by Jerry Yao-chieh Hu et al.
Summary of An Explainablefair Framework For Prediction Of Substance Use Disorder Treatment Completion, by Mary M. Lucas et al.
Summary of The Impact Of Unstated Norms in Bias Analysis Of Language Models, by Farnaz Kohankhaki et al.
Summary of Generalization Bounds For Message Passing Networks on Mixture Of Graphons, by Sohir Maskey et al.
Summary of Approximate Gradient Coding For Privacy-flexible Federated Learning with Non-iid Data, by Okko Makkonen et al.
Summary of Countarfactuals — Generating Plausible Model-agnostic Counterfactual Explanations with Adversarial Random Forests, by Susanne Dandl et al.
Summary of Banglaautokg: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering, by Azmine Toushik Wasi and Taki Hasan Rafi and Raima Islam and Dong-kyu Chae
Summary of Tinyvqa: Compact Multimodal Deep Neural Network For Visual Question Answering on Resource-constrained Devices, by Hasib-al Rashid et al.
Summary of How Does Multi-task Training Affect Transformer In-context Capabilities? Investigations with Function Classes, by Harmon Bhasin et al.
Summary of Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-optimal Algorithm, by Miao Lu et al.
Summary of Leveraging Interpolation Models and Error Bounds For Verifiable Scientific Machine Learning, by Tyler Chang and Andrew Gillette and Romit Maulik
Summary of Reft: Representation Finetuning For Language Models, by Zhengxuan Wu and Aryaman Arora and Zheng Wang and Atticus Geiger and Dan Jurafsky and Christopher D. Manning and Christopher Potts
Summary of Laser Learning Environment: a New Environment For Coordination-critical Multi-agent Tasks, by Yannick Molinghen et al.
Summary of Training Llms Over Neurally Compressed Text, by Brian Lester et al.
Summary of On the Efficiency Of Convolutional Neural Networks, by Andrew Lavin
Summary of Mitigating the Impact Of Outlier Channels For Language Model Quantization with Activation Regularization, by Aniruddha Nrusimha et al.
Summary of Wordepth: Variational Language Prior For Monocular Depth Estimation, by Ziyao Zeng et al.
Summary of Federated Unlearning For Human Activity Recognition, by Kongyang Chen et al.