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