Paper List

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Summary of The Cast Package For Training and Assessment Of Spatial Prediction Models in R, by Hanna Meyer et al.
Summary of On Fixing the Right Problems in Predictive Analytics: Auc Is Not the Problem, by Ryan S. Baker et al.
Summary of Quiver Laplacians and Feature Selection, by Otto Sumray et al.
Summary of Automated Federated Pipeline For Parameter-efficient Fine-tuning Of Large Language Models, by Zihan Fang et al.
Summary of Hyperparameter Selection in Continual Learning, by Thomas L. Lee et al.
Summary of A Dataset and Framework For Learning State-invariant Object Representations, by Rohan Sarkar et al.
Summary of Go4align: Group Optimization For Multi-task Alignment, by Jiayi Shen et al.
Summary of Graph Reinforcement Learning For Combinatorial Optimization: a Survey and Unifying Perspective, by Victor-alexandru Darvariu et al.
Summary of Simultaneous Linear Connectivity Of Neural Networks Modulo Permutation, by Ekansh Sharma et al.
Summary of Less Is More For Improving Automatic Evaluation Of Factual Consistency, by Tong Wang et al.
Summary of Variational Stochastic Gradient Descent For Deep Neural Networks, by Haotian Chen et al.
Summary of Lecture Notes on Rough Paths and Applications to Machine Learning, by Thomas Cass and Cristopher Salvi
Summary of Morevqa: Exploring Modular Reasoning Models For Video Question Answering, by Juhong Min et al.
Summary of Spatially Optimized Compact Deep Metric Learning Model For Similarity Search, by Md. Farhadul Islam et al.
Summary of Federated Learning Model For Predicting Major Postoperative Complications, by Yonggi Park et al.
Summary of Fairpair: a Robust Evaluation Of Biases in Language Models Through Paired Perturbations, by Jane Dwivedi-yu and Raaz Dwivedi and Timo Schick
Summary of Toward Cross-layer Energy Optimizations in Ai Systems, by Jae-won Chung and Nishil Talati and Mosharaf Chowdhury
Summary of Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models, by Hailong Shu et al.
Summary of Causal Unit Selection Using Tractable Arithmetic Circuits, by Haiying Huang et al.
Summary of Topological Feature Search Method For Multichannel Eeg: Application in Adhd Classification, by Tianming Cai et al.
Summary of How to Craft Backdoors with Unlabeled Data Alone?, by Yifei Wang et al.
Summary of Global Contrastive Training For Multimodal Electronic Health Records with Language Supervision, by Yingbo Ma et al.
Summary of Disguised Copyright Infringement Of Latent Diffusion Models, by Yiwei Lu et al.
Summary of Pgtnet: a Process Graph Transformer Network For Remaining Time Prediction Of Business Process Instances, by Keyvan Amiri Elyasi et al.
Summary of Algorithms For Caching and Mts with Reduced Number Of Predictions, by Karim Abdel Sadek and Marek Elias
Summary of Counterfactual Reasoning For Multi-label Image Classification Via Patching-based Training, by Ming-kun Xie et al.
Summary of On Adversarial Training and the 1 Nearest Neighbor Classifier, by Amir Hagai et al.
Summary of Generative Pre-trained Transformer For Symbolic Regression Base In-context Reinforcement Learning, by Yanjie Li et al.
Summary of Finding Fake Reviews in E-commerce Platforms by Using Hybrid Algorithms, By Mathivanan Periasamy et al.
Summary of Causalbench: a Comprehensive Benchmark For Causal Learning Capability Of Llms, by Yu Zhou et al.
Summary of High Noise Scheduling Is a Must, by Mahmut S. Gokmen et al.
Summary of Policy-guided Diffusion, by Matthew Thomas Jackson et al.
Summary of Exploring Neural Network Landscapes: Star-shaped and Geodesic Connectivity, by Zhanran Lin et al.
Summary of Minicpm: Unveiling the Potential Of Small Language Models with Scalable Training Strategies, by Shengding Hu et al.
Summary of Dynamic Deep Learning Based Super-resolution For the Shallow Water Equations, by Maximilian Witte et al.
Summary of Online Learning Of Decision Trees with Thompson Sampling, by Ayman Chaouki et al.
Summary of Wu’s Method Can Boost Symbolic Ai to Rival Silver Medalists and Alphageometry to Outperform Gold Medalists at Imo Geometry, by Shiven Sinha et al.
Summary of Rethinking How to Evaluate Language Model Jailbreak, by Hongyu Cai et al.
Summary of Studying the Impact Of Latent Representations in Implicit Neural Networks For Scientific Continuous Field Reconstruction, by Wei Xu et al.
Summary of Efficient Training Of Probabilistic Neural Networks For Survival Analysis, by Christian Marius Lillelund et al.
Summary of Pfl-research: Simulation Framework For Accelerating Research in Private Federated Learning, by Filip Granqvist et al.
Summary of Seasonal Fire Prediction Using Spatio-temporal Deep Neural Networks, by Dimitrios Michail and Lefki-ioanna Panagiotou and Charalampos Davalas and Ioannis Prapas and Spyros Kondylatos and Nikolaos Ioannis Bountos and Ioannis Papoutsis
Summary of Pure: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, By Maximilian Dreyer et al.
Summary of Tackling Structural Hallucination in Image Translation with Local Diffusion, by Seunghoi Kim et al.
Summary of Aegis: Online Adaptive Ai Content Safety Moderation with Ensemble Of Llm Experts, by Shaona Ghosh et al.
Summary of Feel-good Thompson Sampling For Contextual Dueling Bandits, by Xuheng Li et al.
Summary of Prelimit Coupling and Steady-state Convergence Of Constant-stepsize Nonsmooth Contractive Sa, by Yixuan Zhang et al.
Summary of Fair Graph Neural Network with Supervised Contrastive Regularization, by Mahdi Tavassoli Kejani (ut3) et al.
Summary of Unifying Low Dimensional Observations in Deep Learning Through the Deep Linear Unconstrained Feature Model, by Connall Garrod and Jonathan P. Keating
Summary of Heuristic-enhanced Candidates Selection Strategy For Gpts Tackle Few-shot Aspect-based Sentiment Analysis, by Baoxing Jiang et al.
Summary of Differential Privacy For Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability, by Fatima Ezzeddine et al.
Summary of Scrdit: Generating Single-cell Rna-seq Data by Diffusion Transformers and Accelerating Sampling, By Shengze Dong et al.
Summary of Characterizing Multimodal Long-form Summarization: a Case Study on Financial Reports, by Tianyu Cao et al.
Summary of Sccdcg: Efficient Deep Structural Clustering For Single-cell Rna-seq Via Deep Cut-informed Graph Embedding, by Ping Xu et al.
Summary of Diverse Randomized Value Functions: a Provably Pessimistic Approach For Offline Reinforcement Learning, by Xudong Yu et al.
Summary of Clip-embed-kd: Computationally Efficient Knowledge Distillation Using Embeddings As Teachers, by Lakshmi Nair
Summary of The Impact Of Data Set Similarity and Diversity on Transfer Learning Success in Time Series Forecasting, by Claudia Ehrig et al.
Summary of Elephants Never Forget: Memorization and Learning Of Tabular Data in Large Language Models, by Sebastian Bordt et al.
Summary of Omnifusion Technical Report, by Elizaveta Goncharova et al.
Summary of Zero-shot Relational Learning For Multimodal Knowledge Graphs, by Rui Cai et al.
Summary of Low-cost Generation and Evaluation Of Dictionary Example Sentences, by Bill Cai et al.
Summary of Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning, by Emre Ozfatura and Kerem Ozfatura and Alptekin Kupcu and Deniz Gunduz
Summary of Actnetformer: Transformer-resnet Hybrid Method For Semi-supervised Action Recognition in Videos, by Sharana Dharshikgan Suresh Dass and Hrishav Bakul Barua and Ganesh Krishnasamy and Raveendran Paramesran and Raphael C.-w. Phan
Summary of Dynamical Stability and Chaos in Artificial Neural Network Trajectories Along Training, by Kaloyan Danovski et al.
Summary of Just Wing It: Near-optimal Estimation Of Missing Mass in a Markovian Sequence, by Ashwin Pananjady et al.
Summary of Sambalingo: Teaching Large Language Models New Languages, by Zoltan Csaki et al.
Summary of Attention-driven Multi-agent Reinforcement Learning: Enhancing Decisions with Expertise-informed Tasks, by Andre R Kuroswiski et al.
Summary of Softmax Attention with Constant Cost Per Token, by Franz A. Heinsen
Summary of Localizing Moments Of Actions in Untrimmed Videos Of Infants with Autism Spectrum Disorder, by Halil Ismail Helvaci et al.
Summary of Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning, by Ruiqi Zhang et al.
Summary of Tabconv: Low-computation Cnn Inference Via Table Lookups, by Neelesh Gupta et al.
Summary of Codeclm: Aligning Language Models with Tailored Synthetic Data, by Zifeng Wang et al.
Summary of Rapid and Precise Topological Comparison with Merge Tree Neural Networks, by Yu Qin et al.
Summary of Learning Heuristics For Transit Network Design and Improvement with Deep Reinforcement Learning, by Andrew Holliday et al.
Summary of Natural Learning, by Hadi Fanaee-t
Summary of Interpretability in Symbolic Regression: a Benchmark Of Explanatory Methods Using the Feynman Data Set, by Guilherme Seidyo Imai Aldeia and Fabricio Olivetti De Franca (federal University Of Abc)
Summary of Deep Reinforcement Learning For Personalized Diagnostic Decision Pathways Using Electronic Health Records: a Comparative Study on Anemia and Systemic Lupus Erythematosus, by Lillian Muyama et al.
Summary of Adagossip: Adaptive Consensus Step-size For Decentralized Deep Learning with Communication Compression, by Sai Aparna Aketi et al.
Summary of Neural Networks Can Be Flop-efficient Integrators Of 1d Oscillatory Integrands, by Anshuman Sinha and Spencer H. Bryngelson
Summary of Efficient Multi-task Reinforcement Learning Via Task-specific Action Correction, by Jinyuan Feng et al.
Summary of Jstr: Judgment Improves Scene Text Recognition, by Masato Fujitake
Summary of A Cyber Manufacturing Iot System For Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-labeling, By Yutian Ren et al.
Summary of A Lightweight Measure Of Classification Difficulty From Application Dataset Characteristics, by Bryan Bo Cao et al.
Summary of Technical Report: the Graph Spectral Token — Enhancing Graph Transformers with Spectral Information, by Zihan Pengmei et al.
Summary of Graph Neural Networks Automated Design and Deployment on Device-edge Co-inference Systems, by Ao Zhou et al.
Summary of Deep Representation Learning For Multi-functional Degradation Modeling Of Community-dwelling Aging Population, by Suiyao Chen et al.
Summary of How to Evaluate Entity Resolution Systems: An Entity-centric Framework with Application to Inventor Name Disambiguation, by Olivier Binette et al.
Summary of Anchoral: Computationally Efficient Active Learning For Large and Imbalanced Datasets, by Pietro Lesci and Andreas Vlachos
Summary of Investigating the Impact Of Quantization on Adversarial Robustness, by Qun Li et al.
Summary of Flexible Fairness-aware Learning Via Inverse Conditional Permutation, by Yuheng Lai et al.
Summary of Causality Extraction From Nuclear Licensee Event Reports Using a Hybrid Framework, by Shahidur Rahoman Sohag et al.
Summary of David and Goliath: An Empirical Evaluation Of Attacks and Defenses For Qnns at the Deep Edge, by Miguel Costa and Sandro Pinto
Summary of Automated Discovery Of Symbolic Laws Governing Skill Acquisition From Naturally Occurring Data, by Sannyuya Liu et al.
Summary of Evaluating the Efficacy Of Cut-and-paste Data Augmentation in Semantic Segmentation For Satellite Imagery, by Ionut M. Motoi et al.
Summary of Predicting Overtakes in Trucks Using Can Data, by Talha Hanif Butt and Prayag Tiwari and Fernando Alonso-fernandez
Summary of Comprehensive Study on German Language Models For Clinical and Biomedical Text Understanding, by Ahmad Idrissi-yaghir et al.
Summary of Soil Respiration Signals in Response to Sustainable Soil Management Practices Enhance Soil Organic Carbon Stocks, by Mario Guevara
Summary of Enhancing Inference Efficiency Of Large Language Models: Investigating Optimization Strategies and Architectural Innovations, by Georgy Tyukin
Summary of Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: a Multiobjective Hyperparameter and Architecture Optimization Approach, by Yixuan Sun et al.
Summary of Stmgf: An Effective Spatial-temporal Multi-granularity Framework For Traffic Forecasting, by Zhengyang Zhao et al.