Paper List

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Summary of Demystifying Verbatim Memorization in Large Language Models, by Jing Huang et al.
Summary of Eeg-ssm: Leveraging State-space Model For Dementia Detection, by Xuan-the Tran et al.
Summary of Nc-ncd: Novel Class Discovery For Node Classification, by Yue Hou et al.
Summary of Humanvid: Demystifying Training Data For Camera-controllable Human Image Animation, by Zhenzhi Wang et al.
Summary of Eurocropsml: a Time Series Benchmark Dataset For Few-shot Crop Type Classification, by Joana Reuss et al.
Summary of Cmr Scaling Law: Predicting Critical Mixture Ratios For Continual Pre-training Of Language Models, by Jiawei Gu et al.
Summary of Hidden or Inferred: Fair Learning-to-rank with Unknown Demographics, by Oluseun Olulana et al.
Summary of Traversing Pareto Optimal Policies: Provably Efficient Multi-objective Reinforcement Learning, by Shuang Qiu et al.
Summary of Learning From Memory: Non-parametric Memory Augmented Self-supervised Learning Of Visual Features, by Thalles Silva et al.
Summary of Robust Adaptation Of Foundation Models with Black-box Visual Prompting, by Changdae Oh et al.
Summary of Driving Pattern Interpretation Based on Action Phases Clustering, by Xue Yao et al.
Summary of Sfprompt: Communication-efficient Split Federated Fine-tuning For Large Pre-trained Models Over Resource-limited Devices, by Linxiao Cao et al.
Summary of Lambda: a Large Model Based Data Agent, by Maojun Sun et al.
Summary of Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning, by Ralf Raumanns et al.
Summary of Automated Transport Separation Using the Neural Shifted Proper Orthogonal Decomposition, by Beata Zorawski et al.
Summary of Exploring Domain Robust Lightweight Reward Models Based on Router Mechanism, by Hyuk Namgoong et al.
Summary of S-e Pipeline: a Vision Transformer (vit) Based Resilient Classification Pipeline For Medical Imaging Against Adversarial Attacks, by Neha a S et al.
Summary of Coupling Speech Encoders with Downstream Text Models, by Ciprian Chelba and Johan Schalkwyk
Summary of Adaptive Training Of Grid-dependent Physics-informed Kolmogorov-arnold Networks, by Spyros Rigas et al.
Summary of Pretraining a Neural Operator in Lower Dimensions, by Amirpouya Hemmasian et al.
Summary of Towards Neural Network Based Cognitive Models Of Dynamic Decision-making by Humans, By Changyu Chen et al.
Summary of Safepath: a System-level Approach For Efficient Power and Thermal Estimation Of Convolutional Neural Network Accelerator, by Yukai Chen et al.
Summary of Sma-hyper: Spatiotemporal Multi-view Fusion Hypergraph Learning For Traffic Accident Prediction, by Xiaowei Gao et al.
Summary of Robust Deep Hawkes Process Under Label Noise Of Both Event and Occurrence, by Xiaoyu Tan et al.
Summary of Solving the Electrical Impedance Tomography Problem with a Deeponet Type Neural Network: Theory and Application, by Anuj Abhishek and Thilo Strauss
Summary of Generalization Bounds Of Surrogate Policies For Combinatorial Optimization Problems, by Pierre-cyril Aubin-frankowski and Yohann De Castro and Axel Parmentier and Alessandro Rudi
Summary of Take a Step and Reconsider: Sequence Decoding For Self-improved Neural Combinatorial Optimization, by Jonathan Pirnay and Dominik G. Grimm
Summary of Spectrum-informed Multistage Neural Networks: Multiscale Function Approximators Of Machine Precision, by Jakin Ng et al.
Summary of Sublinear Regret For a Class Of Continuous-time Linear-quadratic Reinforcement Learning Problems, by Yilie Huang et al.
Summary of A Hybrid Federated Kernel Regularized Least Squares Algorithm, by Celeste Damiani et al.
Summary of Channel-aware Low-rank Adaptation in Time Series Forecasting, by Tong Nie et al.
Summary of Statistical Batch-based Bearing Fault Detection, by Victoria Jorry et al.
Summary of Enhanced Feature Learning Via Regularisation: Integrating Neural Networks and Kernel Methods, by Bertille Follain and Francis Bach
Summary of Movelight: Enhancing Traffic Signal Control Through Movement-centric Deep Reinforcement Learning, by Junqi Shao et al.
Summary of Low Dimensional Representation Of Multi-patient Flow Cytometry Datasets Using Optimal Transport For Minimal Residual Disease Detection in Leukemia, by Erell Gachon et al.
Summary of Gradient-based Inference Of Abstract Task Representations For Generalization in Neural Networks, by Ali Hummos et al.
Summary of Global Confidence Degree Based Graph Neural Network For Financial Fraud Detection, by Jiaxun Liu et al.
Summary of Entropy Reweighted Conformal Classification, by Rui Luo and Nicolo Colombo
Summary of A Comprehensive Approach to Misspelling Correction with Bert and Levenshtein Distance, by Amirreza Naziri et al.
Summary of Systematic Relational Reasoning with Epistemic Graph Neural Networks, by Irtaza Khalid et al.
Summary of Looking at Model Debiasing Through the Lens Of Anomaly Detection, by Vito Paolo Pastore et al.
Summary of Nerva: a Truly Sparse Implementation Of Neural Networks, by Wieger Wesselink et al.
Summary of Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?, by Michael-andrei Panaitescu-liess et al.
Summary of Scghsom: Hierarchical Clustering and Visualization Of Single-cell and Crispr Data Using Growing Hierarchical Som, by Shang-jung Wen et al.
Summary of A Voter-based Stochastic Rejection-method Framework For Asymptotically Safe Language Model Outputs, by Jake R. Watts et al.
Summary of Sparse Tensor Pca Via Tensor Decomposition For Unsupervised Feature Selection, by Junjing Zheng et al.
Summary of Sepsislab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing, by Changchang Yin et al.
Summary of Accurate and Efficient Fine-tuning Of Quantized Large Language Models Through Optimal Balance, by Ao Shen et al.
Summary of Gymnasium: a Standard Interface For Reinforcement Learning Environments, by Mark Towers et al.
Summary of Time Series Imputation with Multivariate Radial Basis Function Neural Network, by Chanyoung Jung and Yun Jang
Summary of Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference, by Jian Xu et al.
Summary of Curriculum Negative Mining For Temporal Networks, by Ziyue Chen et al.
Summary of An Efficient Procedure For Computing Bayesian Network Structure Learning, by Hongming Huang and Joe Suzuki
Summary of Contrastive Learning Is Not Optimal For Quasiperiodic Time Series, by Adrian Atienza et al.
Summary of Ovr: a Dataset For Open Vocabulary Temporal Repetition Counting in Videos, by Debidatta Dwibedi et al.
Summary of Towards Robust Knowledge Tracing Models Via K-sparse Attention, by Shuyan Huang et al.
Summary of Neural Dueling Bandits, by Arun Verma et al.
Summary of Everadapt: Continuous Adaptation For Dynamic Machine Fault Diagnosis Environments, by Edward et al.
Summary of Parameter-efficient Fine-tuning For Continual Learning: a Neural Tangent Kernel Perspective, by Jingren Liu et al.
Summary of To Know or Not to Know? Analyzing Self-consistency Of Large Language Models Under Ambiguity, by Anastasiia Sedova et al.
Summary of Path Following and Stabilisation Of a Bicycle Model Using a Reinforcement Learning Approach, by Sebastian Weyrer et al.
Summary of Quantum Supervised Learning, by Antonio Macaluso
Summary of Narrationdep: Narratives on Social Media For Automatic Depression Detection, by Hamad Zogan et al.
Summary of Wasserstein Distributionally Robust Shallow Convex Neural Networks, by Julien Pallage and Antoine Lesage-landry
Summary of Multimodal Machine Learning in Mental Health: a Survey Of Data, Algorithms, and Challenges, by Zahraa Al Sahili et al.
Summary of C3t: Cross-modal Transfer Through Time For Human Action Recognition, by Abhi Kamboj et al.
Summary of In Search For Architectures and Loss Functions in Multi-objective Reinforcement Learning, by Mikhail Terekhov et al.
Summary of Retrieval Augmented Generation or Long-context Llms? a Comprehensive Study and Hybrid Approach, by Zhuowan Li et al.
Summary of A Multi-level Hierarchical Framework For the Classification Of Weather Conditions and Hazard Prediction, by Harish Neelam
Summary of Balanced Multi-relational Graph Clustering, by Zhixiang Shen et al.
Summary of How Can Deep Neural Networks Fail Even with Global Optima?, by Qingguang Guan
Summary of Regulating Ai Adaptation: An Analysis Of Ai Medical Device Updates, by Kevin Wu et al.
Summary of Generation Constraint Scaling Can Mitigate Hallucination, by Georgios Kollias et al.
Summary of Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes, by Jingyi Gao et al.
Summary of Cross-domain Policy Transfer by Representation Alignment Via Multi-domain Behavioral Cloning, By Hayato Watahiki et al.
Summary of Provable Benefit Of Annealed Langevin Monte Carlo For Non-log-concave Sampling, by Wei Guo et al.
Summary of Gv-rep: a Large-scale Dataset For Genetic Variant Representation Learning, by Zehui Li et al.
Summary of Towards Transfer Unlearning: Empirical Evidence Of Cross-domain Bias Mitigation, by Huimin Lu et al.
Summary of Wonderful Matrices: More Efficient and Effective Architecture For Language Modeling Tasks, by Jingze Shi and Bingheng Wu and Lu He and Luchang Jiang
Summary of Adaptive Gradient Regularization: a Faster and Generalizable Optimization Technique For Deep Neural Networks, by Huixiu Jiang et al.
Summary of Dynamic Graph Transformer with Correlated Spatial-temporal Positional Encoding, by Zhe Wang et al.
Summary of Stochastic Variance-reduced Iterative Hard Thresholding in Graph Sparsity Optimization, by Derek Fox and Samuel Hernandez and Qianqian Tong
Summary of On the Parameter Identifiability Of Partially Observed Linear Causal Models, by Xinshuai Dong and Ignavier Ng and Biwei Huang and Yuewen Sun and Songyao Jin and Roberto Legaspi and Peter Spirtes and Kun Zhang
Summary of Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques, by Yehonatan Zion et al.
Summary of Dc Is All You Need: Describing Relu From a Signal Processing Standpoint, by Christodoulos Kechris et al.
Summary of Functional Acceleration For Policy Mirror Descent, by Veronica Chelu and Doina Precup
Summary of Data Mixture Inference: What Do Bpe Tokenizers Reveal About Their Training Data?, by Jonathan Hayase et al.
Summary of Local Vs Global Continual Learning, by Giulia Lanzillotta et al.
Summary of Lawma: the Power Of Specialization For Legal Tasks, by Ricardo Dominguez-olmedo et al.
Summary of Course-correction: Safety Alignment Using Synthetic Preferences, by Rongwu Xu et al.
Summary of Stress-testing Long-context Language Models with Lifelong Icl and Task Haystack, by Xiaoyue Xu et al.
Summary of A Geometry-aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space, by Zhangyu Wang et al.
Summary of Computable Learning Of Natural Hypothesis Classes, by Matthew Harrison-trainor et al.
Summary of Kan or Mlp: a Fairer Comparison, by Runpeng Yu and Weihao Yu and Xinchao Wang
Summary of Rapid Switching and Multi-adapter Fusion Via Sparse High Rank Adapters, by Kartikeya Bhardwaj et al.
Summary of Masked Graph Learning with Recurrent Alignment For Multimodal Emotion Recognition in Conversation, by Tao Meng et al.
Summary of Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift, by Jiaqiang Zhang et al.
Summary of Pategail: a Privacy-preserving Mobility Trajectory Generator with Imitation Learning, by Huandong Wang et al.
Summary of Conformally Natural Families Of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep Learning, by Vladimir Jacimovic and Marijan Markovic
Summary of Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series, by Bach Viet Do et al.