Paper List

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Summary of Learning Load Balancing with Gnn in Mptcp-enabled Heterogeneous Networks, by Han Ji et al.
Summary of Understanding Transfer Learning Via Mean-field Analysis, by Gholamali Aminian et al.
Summary of Exploring Rl-based Llm Training For Formal Language Tasks with Programmed Rewards, by Alexander G. Padula and Dennis J.n.j. Soemers
Summary of Progressive Compositionality in Text-to-image Generative Models, by Xu Han et al.
Summary of Co-training Partial Domain Adaptation Networks For Industrial Fault Diagnosis, by Gecheng Chen
Summary of Llm-assisted Red Teaming Of Diffusion Models Through “failures Are Fated, but Can Be Faded”, by Som Sagar et al.
Summary of Efficient Frequency Selective Surface Analysis Via End-to-end Model-based Learning, by Cheima Hammami (insa Rennes et al.
Summary of Corrected Soft Actor Critic For Continuous Control, by Yanjun Chen et al.
Summary of Beyond Retrieval: Generating Narratives in Conversational Recommender Systems, by Krishna Sayana et al.
Summary of Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks, by Julie Alberge (soda) et al.
Summary of Curriculum Reinforcement Learning For Complex Reward Functions, by Kilian Freitag et al.
Summary of One-step Diffusion Distillation Through Score Implicit Matching, by Weijian Luo and Zemin Huang and Zhengyang Geng and J. Zico Kolter and Guo-jun Qi
Summary of Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost, by Cheng-han Yeh et al.
Summary of Evaluating the Effectiveness Of Attack-agnostic Features For Morphing Attack Detection, by Laurent Colbois et al.
Summary of Masked Clinical Modelling: a Framework For Synthetic and Augmented Survival Data Generation, by Nicholas I-hsien Kuo et al.
Summary of Klein Model For Hyperbolic Neural Networks, by Yidan Mao et al.
Summary of Fast Graph Sharpness-aware Minimization For Enhancing and Accelerating Few-shot Node Classification, by Yihong Luo et al.
Summary of Ck4gen: a Knowledge Distillation Framework For Generating High-utility Synthetic Survival Datasets in Healthcare, by Nicholas I-hsien Kuo et al.
Summary of Rethinking Generalization Of Classifiers in Separable Classes Scenarios and Over-parameterized Regimes, by Julius Martinetz et al.
Summary of Just in Time Transformers, by Ahmed Ala Eddine Benali et al.
Summary of Network Inversion For Training-like Data Reconstruction, by Pirzada Suhail et al.
Summary of Large Language Model-based Augmentation For Imbalanced Node Classification on Text-attributed Graphs, by Leyao Wang et al.
Summary of Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning, by Kai Zhao et al.
Summary of General Frameworks For Conditional Two-sample Testing, by Seongchan Lee et al.
Summary of Llmscan: Causal Scan For Llm Misbehavior Detection, by Mengdi Zhang et al.
Summary of Enhancing Two-player Performance Through Single-player Knowledge Transfer: An Empirical Study on Atari 2600 Games, by Kimiya Saadat and Richard Zhao
Summary of Rkadiyala at Semeval-2024 Task 8: Black-box Word-level Text Boundary Detection in Partially Machine Generated Texts, by Ram Mohan Rao Kadiyala
Summary of Dual-model Defense: Safeguarding Diffusion Models From Membership Inference Attacks Through Disjoint Data Splitting, by Bao Q. Tran et al.
Summary of Fastattention: Extend Flashattention2 to Npus and Low-resource Gpus, by Haoran Lin et al.
Summary of Linear Partial Gromov-wasserstein Embedding, by Yikun Bai et al.
Summary of Efficient Antibody Structure Refinement Using Energy-guided Se(3) Flow Matching, by Jiying Zhang et al.
Summary of Methods Of Improving Llm Training Stability, by Oleg Rybakov et al.
Summary of Cops: Empowering Llm Agents with Provable Cross-task Experience Sharing, by Chen Yang et al.
Summary of Governing Equation Discovery Of a Complex System From Snapshots, by Qunxi Zhu et al.
Summary of Lower Bounds For Time-varying Kernelized Bandits, by Xu Cai and Jonathan Scarlett
Summary of Hyperboloid Gplvm For Discovering Continuous Hierarchies Via Nonparametric Estimation, by Koshi Watanabe et al.
Summary of Climaqa: An Automated Evaluation Framework For Climate Question Answering Models, by Veeramakali Vignesh Manivannan et al.
Summary of Graph Transformers Dream Of Electric Flow, by Xiang Cheng et al.
Summary of Universal Approximation Property Of Odenet and Resnet with a Single Activation Function, by Masato Kimura and Kazunori Matsui and Yosuke Mizuno
Summary of Privacy-hardened and Hallucination-resistant Synthetic Data Generation with Logic-solvers, by Mark A. Burgess et al.
Summary of Influential Language Data Selection Via Gradient Trajectory Pursuit, by Zhiwei Deng et al.
Summary of Collapse or Thrive? Perils and Promises Of Synthetic Data in a Self-generating World, by Joshua Kazdan et al.
Summary of Learning Partial Graph Matching Via Optimal Partial Transport, by Gathika Ratnayaka et al.
Summary of Forecasting Opioid Incidents For Rapid Actionable Data For Opioid Response in Kentucky, by Aaron D. Mullen et al.
Summary of Learning From Others’ Mistakes: Finetuning Machine Translation Models with Span-level Error Annotations, by Lily H. Zhang et al.
Summary of Scalability Of Memorization-based Machine Unlearning, by Kairan Zhao et al.
Summary of Rgmdt: Return-gap-minimizing Decision Tree Extraction in Non-euclidean Metric Space, by Jingdi Chen et al.
Summary of Cancer Cell Classification Using Deep Learning, by Praneeth Kumar T et al.
Summary of Adam-sindy: An Efficient Optimization Framework For Parameterized Nonlinear Dynamical System Identification, by Siva Viknesh et al.
Summary of Large Body Language Models, by Saif Punjwani and Larry Heck
Summary of Softsrv: Learn to Generate Targeted Synthetic Data, by Giulia Desalvo et al.
Summary of Bayesian Scaling Laws For In-context Learning, by Aryaman Arora et al.
Summary of Qixai: a Quantum-inspired Framework For Enhancing Classical and Quantum Model Transparency and Understanding, by John M. Willis
Summary of A Theoretical Understanding Of Chain-of-thought: Coherent Reasoning and Error-aware Demonstration, by Yingqian Cui et al.
Summary of A Theoretical Study Of Neural Network Expressive Power Via Manifold Topology, by Jiachen Yao et al.
Summary of Spatio-temporal Multivariate Cluster Evolution Analysis For Detecting and Tracking Climate Impacts, by Warren L. Davis Iv et al.
Summary of Can Transformers In-context Learn Behavior Of a Linear Dynamical System?, by Usman Akram et al.
Summary of Enhancing Pac Learning Of Half Spaces Through Robust Optimization Techniques, by Shirmohammad Tavangari et al.
Summary of Gradient Normalization Provably Benefits Nonconvex Sgd Under Heavy-tailed Noise, by Tao Sun et al.
Summary of How Can We Diagnose and Treat Bias in Large Language Models For Clinical Decision-making?, by Kenza Benkirane et al.
Summary of Vimguard: a Novel Multi-modal System For Video Misinformation Guarding, by Andrew Kan et al.
Summary of Conflict-aware Adversarial Training, by Zhiyu Xue et al.
Summary of Gala: Graph Diffusion-based Alignment with Jigsaw For Source-free Domain Adaptation, by Junyu Luo et al.
Summary of Hydra-lstm: a Semi-shared Machine Learning Architecture For Prediction Across Watersheds, by Karan Ruparell et al.
Summary of Large Language Models in Computer Science Education: a Systematic Literature Review, by Nishat Raihan et al.
Summary of A Simple Model Of Inference Scaling Laws, by Noam Levi
Summary of Lego-learn: Label-efficient Graph Open-set Learning, by Haoyan Xu et al.
Summary of Designing Robust Cyber-defense Agents with Evolving Behavior Trees, by Nicholas Potteiger et al.
Summary of Llm-based Optimization Of Compound Ai Systems: a Survey, by Matthieu Lin et al.
Summary of Federated Communication-efficient Multi-objective Optimization, by Baris Askin et al.
Summary of Simplicity Bias Via Global Convergence Of Sharpness Minimization, by Khashayar Gatmiry et al.
Summary of Hotel Booking Cancellation Prediction Using Applied Bayesian Models, by Md Asifuzzaman Jishan et al.
Summary of On Conditional Diffusion Models For Pde Simulations, by Aliaksandra Shysheya et al.
Summary of Data Augmentation Of Multivariate Sensor Time Series Using Autoregressive Models and Application to Failure Prognostics, by Douglas Baptista De Souza and Bruno Paes Leao
Summary of Promoting Cross-modal Representations to Improve Multimodal Foundation Models For Physiological Signals, by Ching Fang et al.
Summary of Bi-eqno: Generalized Approximate Bayesian Inference with An Equivariant Neural Operator Framework, by Xu-hui Zhou et al.
Summary of Fair Bilevel Neural Network (fairbinn): on Balancing Fairness and Accuracy Via Stackelberg Equilibrium, by Mehdi Yazdani-jahromi et al.
Summary of Robust Feature Learning For Multi-index Models in High Dimensions, by Alireza Mousavi-hosseini and Adel Javanmard and Murat A. Erdogdu
Summary of Improving Neuron-level Interpretability with White-box Language Models, by Hao Bai et al.
Summary of In Search Of the Successful Interpolation: on the Role Of Sharpness in Clip Generalization, by Alireza Abdollahpoorrostam
Summary of Identifying Sub-networks in Neural Networks Via Functionally Similar Representations, by Tian Gao et al.
Summary of Llm-ts Integrator: Integrating Llm For Enhanced Time Series Modeling, by Can Chen et al.
Summary of Survival Multiarmed Bandits with Bootstrapping Methods, by Peter Veroutis et al.
Summary of Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance, by Mostafa Hussien et al.
Summary of Towards Combating Frequency Simplicity-biased Learning For Domain Generalization, by Xilin He et al.
Summary of Metric As Transform: Exploring Beyond Affine Transform For Interpretable Neural Network, by Suman Sapkota
Summary of Unsupervised Replay Strategies For Continual Learning with Limited Data, by Anthony Bazhenov et al.
Summary of Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models, by Giannis Daras et al.
Summary of Magicpig: Lsh Sampling For Efficient Llm Generation, by Zhuoming Chen et al.
Summary of A Trust-region Method For Graphical Stein Variational Inference, by Liam Pavlovic et al.
Summary of Theoretical Limitations Of Ensembles in the Age Of Overparameterization, by Niclas Dern et al.
Summary of Machine Learning Approaches For Mental Illness Detection on Social Media: a Systematic Review Of Biases and Methodological Challenges, by Yuchen Cao et al.
Summary of Compute-constrained Data Selection, by Junjie Oscar Yin et al.
Summary of Comprehensive Benchmarking Of Large Language Models For Rna Secondary Structure Prediction, by L.i. Zablocki et al.
Summary of On Creating An English-thai Code-switched Machine Translation in Medical Domain, by Parinthapat Pengpun et al.
Summary of A Realistic Threat Model For Large Language Model Jailbreaks, by Valentyn Boreiko et al.
Summary of More: Multi-modal Contrastive Pre-training with Transformers on X-rays, Ecgs, and Diagnostic Report, by Samrajya Thapa et al.
Summary of Distribution Learning with Valid Outputs Beyond the Worst-case, by Nick Rittler et al.
Summary of Implicit Regularization For Tubal Tensor Factorizations Via Gradient Descent, by Santhosh Karnik et al.
Summary of Revisiting Deep Feature Reconstruction For Logical and Structural Industrial Anomaly Detection, by Sukanya Patra and Souhaib Ben Taieb