Paper List

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Summary of A Comprehensive Survey Of Federated Transfer Learning: Challenges, Methods and Applications, by Wei Guo et al.
Summary of Decoupling Weighing and Selecting For Integrating Multiple Graph Pre-training Tasks, by Tianyu Fan et al.
Summary of Asyn2f: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation, by Tien-dung Cao et al.
Summary of Sensitivity Analysis on Loss Landscape, by Salman Faroz
Summary of Opengraph: Towards Open Graph Foundation Models, by Lianghao Xia et al.
Summary of Evaluating Large Language Models As Virtual Annotators For Time-series Physical Sensing Data, by Aritra Hota et al.
Summary of Mpipn: a Multi Physics-informed Pointnet For Solving Parametric Acoustic-structure Systems, by Chu Wang et al.
Summary of Llm-pq: Serving Llm on Heterogeneous Clusters with Phase-aware Partition and Adaptive Quantization, by Juntao Zhao et al.
Summary of Leveraging Self-supervised Learning For Scene Classification in Child Sexual Abuse Imagery, by Pedro H. V. Valois et al.
Summary of A Hybrid Model For Traffic Incident Detection Based on Generative Adversarial Networks and Transformer Model, by Xinying Lu et al.
Summary of Training Unbiased Diffusion Models From Biased Dataset, by Yeongmin Kim et al.
Summary of Pseudo-label Calibration Semi-supervised Multi-modal Entity Alignment, by Luyao Wang and Pengnian Qi and Xigang Bao and Chunlai Zhou and Biao Qin
Summary of Stochastic Gradient Descent For Streaming Linear and Rectified Linear Systems with Adversarial Corruptions, by Halyun Jeong et al.
Summary of Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense Of Privacy, by Jamie Hayes et al.
Summary of Api Is Enough: Conformal Prediction For Large Language Models Without Logit-access, by Jiayuan Su et al.
Summary of Active Deep Kernel Learning Of Molecular Functionalities: Realizing Dynamic Structural Embeddings, by Ayana Ghosh et al.
Summary of Rewind Dataset: Privacy-preserving Speaking Status Segmentation From Multimodal Body Movement Signals in the Wild, by Jose Vargas Quiros et al.
Summary of Polynormer: Polynomial-expressive Graph Transformer in Linear Time, by Chenhui Deng et al.
Summary of Acme-ad: Accelerated Model Explanations For Anomaly Detection, by Valentina Zaccaria et al.
Summary of Augmenting Automation: Intent-based User Instruction Classification with Machine Learning, by Lochan Basyal et al.
Summary of Dissecting Language Models: Machine Unlearning Via Selective Pruning, by Nicholas Pochinkov and Nandi Schoots
Summary of Scenecraft: An Llm Agent For Synthesizing 3d Scene As Blender Code, by Ziniu Hu et al.
Summary of Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach, by Qi Tan et al.
Summary of Mediswift: Efficient Sparse Pre-trained Biomedical Language Models, by Vithursan Thangarasa et al.
Summary of Malto at Semeval-2024 Task 6: Leveraging Synthetic Data For Llm Hallucination Detection, by Federico Borra et al.
Summary of Motif Distribution and Function Of Sparse Deep Neural Networks, by Olivia T. Zahn et al.
Summary of Merging Text Transformer Models From Different Initializations, by Neha Verma et al.
Summary of On the Role Of Information Structure in Reinforcement Learning For Partially-observable Sequential Teams and Games, by Awni Altabaa et al.
Summary of Equipment Health Assessment: Time Series Analysis For Wind Turbine Performance, by Jana Backhus et al.
Summary of A Case For Validation Buffer in Pessimistic Actor-critic, by Michal Nauman et al.
Summary of Distributional Dataset Distillation with Subtask Decomposition, by Tian Qin et al.
Summary of Seeing Unseen: Discover Novel Biomedical Concepts Via Geometry-constrained Probabilistic Modeling, by Jianan Fan et al.
Summary of A Library Of Mirrors: Deep Neural Nets in Low Dimensions Are Convex Lasso Models with Reflection Features, by Emi Zeger et al.
Summary of Graphrcg: Self-conditioned Graph Generation, by Song Wang et al.
Summary of Neural Field Classifiers Via Target Encoding and Classification Loss, by Xindi Yang et al.
Summary of Continuous Mean-zero Disagreement-regularized Imitation Learning (cmz-dril), by Noah Ford et al.
Summary of Teaching Mlp More Graph Information: a Three-stage Multitask Knowledge Distillation Framework, by Junxian Li et al.
Summary of Extracting Usable Predictions From Quantized Networks Through Uncertainty Quantification For Ood Detection, by Rishi Singhal and Srinath Srinivasan
Summary of Lab: Large-scale Alignment For Chatbots, by Shivchander Sudalairaj et al.
Summary of Cool: a Conjoint Perspective on Spatio-temporal Graph Neural Network For Traffic Forecasting, by Wei Ju et al.
Summary of Pairwise Alignment Improves Graph Domain Adaptation, by Shikun Liu et al.
Summary of Efficient Episodic Memory Utilization Of Cooperative Multi-agent Reinforcement Learning, by Hyungho Na et al.
Summary of Feature Alignment: Rethinking Efficient Active Learning Via Proxy in the Context Of Pre-trained Models, by Ziting Wen et al.
Summary of Llmguard: Guarding Against Unsafe Llm Behavior, by Shubh Goyal et al.
Summary of Social Media As a Sensor: Analyzing Twitter Data For Breast Cancer Medication Effects Using Natural Language Processing, by Seibi Kobara et al.
Summary of Deep Learning Detection Method For Large Language Models-generated Scientific Content, by Bushra Alhijawi et al.
Summary of Self-refinement Of Language Models From External Proxy Metrics Feedback, by Keshav Ramji et al.
Summary of Parallel Momentum Methods Under Biased Gradient Estimations, by Ali Beikmohammadi et al.
Summary of Direct Alignment Of Draft Model For Speculative Decoding with Chat-fine-tuned Llms, by Raghavv Goel et al.
Summary of Parallel Algorithms For Exact Enumeration Of Deep Neural Network Activation Regions, by Sabrina Drammis et al.
Summary of Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights, by Yuan Wang et al.
Summary of Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-variable and Temporal Modeling, by Shiyi Qi et al.
Summary of Disaggregated Multi-tower: Topology-aware Modeling Technique For Efficient Large-scale Recommendation, by Liang Luo et al.
Summary of Fedrdma: Communication-efficient Cross-silo Federated Llm Via Chunked Rdma Transmission, by Zeling Zhang et al.
Summary of A Regularization-based Transfer Learning Method For Information Extraction Via Instructed Graph Decoder, by Kedi Chen and Jie Zhou and Qin Chen and Shunyu Liu and Liang He
Summary of Evaluating and Correcting Performative Effects Of Decision Support Systems Via Causal Domain Shift, by Philip Boeken et al.
Summary of Margin Discrepancy-based Adversarial Training For Multi-domain Text Classification, by Yuan Wu
Summary of The Algorithm Configuration Problem, by Gabriele Iommazzo et al.
Summary of Scale-free Adversarial Reinforcement Learning, by Mingyu Chen et al.
Summary of Resilience Of Entropy Model in Distributed Neural Networks, by Milin Zhang et al.
Summary of Differentially Private Knowledge Distillation Via Synthetic Text Generation, by James Flemings and Murali Annavaram
Summary of Tree-regularized Tabular Embeddings, by Xuan Li et al.
Summary of Fine-tuning with Very Large Dropout, by Jianyu Zhang et al.
Summary of Efficientzero V2: Mastering Discrete and Continuous Control with Limited Data, by Shengjie Wang et al.
Summary of Beyond Single-model Views For Deep Learning: Optimization Versus Generalizability Of Stochastic Optimization Algorithms, by Toki Tahmid Inan et al.
Summary of Bias Mitigation in Fine-tuning Pre-trained Models For Enhanced Fairness and Efficiency, by Yixuan Zhang and Feng Zhou
Summary of Rethinking Cluster-conditioned Diffusion Models For Label-free Image Synthesis, by Nikolas Adaloglou and Tim Kaiser and Felix Michels and Markus Kollmann
Summary of Rethinking the Uniformity Metric in Self-supervised Learning, by Xianghong Fang et al.
Summary of Stability-certified Learning Of Control Systems with Quadratic Nonlinearities, by Igor Pontes Duff and Pawan Goyal and Peter Benner
Summary of Advancing Additive Manufacturing Through Deep Learning: a Comprehensive Review Of Current Progress and Future Challenges, by Amirul Islam Saimon et al.
Summary of Reusing Historical Trajectories in Natural Policy Gradient Via Importance Sampling: Convergence and Convergence Rate, by Yifan Lin et al.
Summary of Adaptive Learning Rate For Follow-the-regularized-leader: Competitive Analysis and Best-of-both-worlds, by Shinji Ito et al.
Summary of Snapshot Reinforcement Learning: Leveraging Prior Trajectories For Efficiency, by Yanxiao Zhao et al.
Summary of Subhomogeneous Deep Equilibrium Models, by Pietro Sittoni et al.
Summary of Misconduct in Post-selections and Deep Learning, by Juyang Weng
Summary of Mitigating Reversal Curse in Large Language Models Via Semantic-aware Permutation Training, by Qingyan Guo et al.
Summary of Empirical and Experimental Insights Into Data Mining Techniques For Crime Prediction: a Comprehensive Survey, by Kamal Taha
Summary of Precise Framework: Gpt-based Text For Improved Readability, Reliability, and Understandability Of Radiology Reports For Patient-centered Care, by Satvik Tripathi et al.
Summary of An Empirical Study Of Data Ability Boundary in Llms’ Math Reasoning, by Zui Chen et al.
Summary of Getting Serious About Humor: Crafting Humor Datasets with Unfunny Large Language Models, by Zachary Horvitz et al.
Summary of Brain-inspired Two-stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes, By Yezeng Chen et al.
Summary of Uncovering Customer Issues Through Topological Natural Language Analysis, by Shu-ting Pi et al.
Summary of Densemamba: State Space Models with Dense Hidden Connection For Efficient Large Language Models, by Wei He et al.
Summary of A Survey Of Route Recommendations: Methods, Applications, and Opportunities, by Shiming Zhang et al.
Summary of Deep Reinforcement Learning For Solving Management Problems: Towards a Large Management Mode, by Jinyang Jiang et al.
Summary of Softened Symbol Grounding For Neuro-symbolic Systems, by Zenan Li et al.
Summary of Learning with Logical Constraints but Without Shortcut Satisfaction, by Zenan Li et al.
Summary of Nonlinear Sheaf Diffusion in Graph Neural Networks, by Olga Zaghen
Summary of Revisiting Disentanglement in Downstream Tasks: a Study on Its Necessity For Abstract Visual Reasoning, by Ruiqian Nai et al.
Summary of Fractal Interpolation in the Context Of Prediction Accuracy Optimization, by Alexandra Baicoianu et al.
Summary of Spurious Feature Eraser: Stabilizing Test-time Adaptation For Vision-language Foundation Model, by Huan Ma et al.
Summary of Provably Robust Dpo: Aligning Language Models with Noisy Feedback, by Sayak Ray Chowdhury et al.
Summary of Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : a Survey, by Lucas Schott et al.
Summary of Validation Of Ml-uq Calibration Statistics Using Simulated Reference Values: a Sensitivity Analysis, by Pascal Pernot
Summary of Lomoe: Localized Multi-object Editing Via Multi-diffusion, by Goirik Chakrabarty et al.
Summary of Halc: Object Hallucination Reduction Via Adaptive Focal-contrast Decoding, by Zhaorun Chen et al.
Summary of A Survey Of Geometric Graph Neural Networks: Data Structures, Models and Applications, by Jiaqi Han et al.
Summary of Learning and Leveraging World Models in Visual Representation Learning, by Quentin Garrido et al.
Summary of Epsilon-greedy Thompson Sampling to Bayesian Optimization, by Bach Do and Taiwo Adebiyi and Ruda Zhang
Summary of Overestimation, Overfitting, and Plasticity in Actor-critic: the Bitter Lesson Of Reinforcement Learning, by Michal Nauman et al.