Paper List

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Summary of A Pattern Language For Machine Learning Tasks, by Benjamin Rodatz et al.
Summary of On the Robustness Of Graph Reduction Against Gnn Backdoor, by Yuxuan Zhu et al.
Summary of Pleas — Merging Models with Permutations and Least Squares, by Anshul Nasery et al.
Summary of Hc-glad: Dual Hyperbolic Contrastive Learning For Unsupervised Graph-level Anomaly Detection, by Yali Fu et al.
Summary of Terminating Differentiable Tree Experts, by Jonathan Thomm et al.
Summary of Are Data Augmentation Methods in Named Entity Recognition Applicable For Uncertainty Estimation?, by Wataru Hashimoto et al.
Summary of Latent Diffusion Model For Generating Ensembles Of Climate Simulations, by Johannes Meuer et al.
Summary of Gptcast: a Weather Language Model For Precipitation Nowcasting, by Gabriele Franch et al.
Summary of Contribution Evaluation Of Heterogeneous Participants in Federated Learning Via Prototypical Representations, by Qi Guo et al.
Summary of A Data-centric Perspective on Evaluating Machine Learning Models For Tabular Data, by Andrej Tschalzev et al.
Summary of Automated Knowledge Graph Learning in Industrial Processes, by Lolitta Ammann and Jorge Martinez-gil and Michael Mayr and Georgios C. Chasparis
Summary of Efficient Bit Labeling in Factorization Machines with Annealing For Traveling Salesman Problem, by Shota Koshikawa et al.
Summary of Cost-effective Proxy Reward Model Construction with On-policy and Active Learning, by Yifang Chen et al.
Summary of Distributional Regression U-nets For the Postprocessing Of Precipitation Ensemble Forecasts, by Romain Pic et al.
Summary of Efficient Nearest Neighbor Based Uncertainty Estimation For Natural Language Processing Tasks, by Wataru Hashimoto et al.
Summary of Equidistribution-based Training Of Free Knot Splines and Relu Neural Networks, by Simone Appella et al.
Summary of Counterfactual Data Augmentation with Denoising Diffusion For Graph Anomaly Detection, by Chunjing Xiao et al.
Summary of Structure-aware Consensus Network on Graphs with Few Labeled Nodes, by Shuaike Xu et al.
Summary of Attack-aware Noise Calibration For Differential Privacy, by Bogdan Kulynych et al.
Summary of Promptintern: Saving Inference Costs by Internalizing Recurrent Prompt During Large Language Model Fine-tuning, By Jiaru Zou et al.
Summary of Synthetic Multimodal Question Generation, by Ian Wu et al.
Summary of Physics-informed Model and Hybrid Planning For Efficient Dyna-style Reinforcement Learning, by Zakariae El Asri et al.
Summary of Parameter-selective Continual Test-time Adaptation, by Jiaxu Tian et al.
Summary of Improving Multilingual Instruction Finetuning Via Linguistically Natural and Diverse Datasets, by Sathish Reddy Indurthi et al.
Summary of Adaptive Rkhs Fourier Features For Compositional Gaussian Process Models, by Xinxing Shi et al.
Summary of Research on Target Detection Method Of Distracted Driving Behavior Based on Improved Yolov8, by Shiquan Shen et al.
Summary of Automated Text Scoring in the Age Of Generative Ai For the Gpu-poor, by Christopher Michael Ormerod et al.
Summary of Beyond Numeric Awards: In-context Dueling Bandits with Llm Agents, by Fanzeng Xia et al.
Summary of Core Knowledge Learning Framework For Graph Adaptation and Scalability Learning, by Bowen Zhang et al.
Summary of Text-aware Diffusion For Policy Learning, by Calvin Luo et al.
Summary of Let the Expert Stick to His Last: Expert-specialized Fine-tuning For Sparse Architectural Large Language Models, by Zihan Wang et al.
Summary of Mg-verilog: Multi-grained Dataset Towards Enhanced Llm-assisted Verilog Generation, by Yongan Zhang et al.
Summary of The Solution For the Iccv 2023 Perception Test Challenge 2023 — Task 6 — Grounded Videoqa, by Hailiang Zhang et al.
Summary of To Forget or Not? Towards Practical Knowledge Unlearning For Large Language Models, by Bozhong Tian et al.
Summary of Efficient-empathy: Towards Efficient and Effective Selection Of Empathy Data, by Linzhuang Sun et al.
Summary of Zero-shot Video Restoration and Enhancement Using Pre-trained Image Diffusion Model, by Cong Cao et al.
Summary of Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation, by Pablo Messina et al.
Summary of Unveiling Global Interactive Patterns Across Graphs: Towards Interpretable Graph Neural Networks, by Yuwen Wang et al.
Summary of Feynman-kac Operator Expectation Estimator, by Jingyuan Li et al.
Summary of Generation Of Geodesics with Actor-critic Reinforcement Learning to Predict Midpoints, by Kazumi Kasaura
Summary of Digraf: Diffeomorphic Graph-adaptive Activation Function, by Krishna Sri Ipsit Mantri et al.
Summary of On the Expressive Power Of Sparse Geometric Mpnns, by Yonatan Sverdlov and Nadav Dym
Summary of Why Does In-context Learning Fail Sometimes? Evaluating In-context Learning on Open and Closed Questions, by Xiang Li et al.
Summary of A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming Via Proximal Policy Optimization, by Nawazish Ali et al.
Summary of Evaluating the Role Of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing, by Chathurangi Shyalika et al.
Summary of Abstraction Requires Breadth: a Renormalisation Group Approach, by Carlo Orientale Caputo et al.
Summary of Everything That Can Be Learned About a Causal Structure with Latent Variables by Observational and Interventional Probing Schemes, By Marina Maciel Ansanelli et al.
Summary of Weight Clipping For Deep Continual and Reinforcement Learning, by Mohamed Elsayed et al.
Summary of Entropic Optimal Transport Eigenmaps For Nonlinear Alignment and Joint Embedding Of High-dimensional Datasets, by Boris Landa et al.
Summary of Discoverybench: Towards Data-driven Discovery with Large Language Models, by Bodhisattwa Prasad Majumder et al.
Summary of Invariant Correlation Of Representation with Label: Enhancing Domain Generalization in Noisy Environments, by Gaojie Jin et al.
Summary of Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ensy), by Amirhossein Parsi et al.
Summary of Fvdb: a Deep-learning Framework For Sparse, Large-scale, and High-performance Spatial Intelligence, by Francis Williams et al.
Summary of Label-free Neural Semantic Image Synthesis, by Jiayi Wang et al.
Summary of Federated Binary Matrix Factorization Using Proximal Optimization, by Sebastian Dalleiger et al.
Summary of Analyzing Persuasive Strategies in Meme Texts: a Fusion Of Language Models with Paraphrase Enrichment, by Kota Shamanth Ramanath Nayak and Leila Kosseim
Summary of Probabilistic Conformal Prediction with Approximate Conditional Validity, by Vincent Plassier et al.
Summary of Normalization and Effective Learning Rates in Reinforcement Learning, by Clare Lyle and Zeyu Zheng and Khimya Khetarpal and James Martens and Hado Van Hasselt and Razvan Pascanu and Will Dabney
Summary of Dcom: Active Learning For All Learners, by Inbal Mishal and Daphna Weinshall
Summary of Empirical Tests Of Optimization Assumptions in Deep Learning, by Hoang Tran et al.
Summary of To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning, by Tao Ma et al.
Summary of Unifides: Universal Fractional Integro-differential Equation Solvers, by Milad Saadat et al.
Summary of Meerkat: Audio-visual Large Language Model For Grounding in Space and Time, by Sanjoy Chowdhury et al.
Summary of Long-term Prediction Accuracy Improvement Of Data-driven Medium-range Global Weather Forecast, by Yifan Hu et al.
Summary of Jailbreakzoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-language Models, by Haibo Jin et al.
Summary of Unveiling and Controlling Anomalous Attention Distribution in Transformers, by Ruiqing Yan et al.
Summary of Clustering in Pure-attention Hardmax Transformers and Its Role in Sentiment Analysis, by Albert Alcalde et al.
Summary of On Discrete Prompt Optimization For Diffusion Models, by Ruochen Wang and Ting Liu and Cho-jui Hsieh and Boqing Gong
Summary of A Review Of Large Language Models and Autonomous Agents in Chemistry, by Mayk Caldas Ramos et al.
Summary of Deriva-ml: a Continuous Fairness Approach to Reproducible Machine Learning Models, by Zhiwei Li et al.
Summary of Multi-epoch Learning with Data Augmentation For Deep Click-through Rate Prediction, by Zhongxiang Fan et al.
Summary of Self-adaptive Weights Based on Balanced Residual Decay Rate For Physics-informed Neural Networks and Deep Operator Networks, by Wenqian Chen et al.
Summary of Enhancing Stability For Large Language Models Training in Constrained Bandwidth Networks, by Yun Dai et al.
Summary of Edge-direct: a Deep Reinforcement Learning-based Method For Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints, by Arash Mozhdehi et al.
Summary of Deciphering Interventional Dynamical Causality From Non-intervention Systems, by Jifan Shi et al.
Summary of Tabsketchfm: Sketch-based Tabular Representation Learning For Data Discovery Over Data Lakes, by Aamod Khatiwada et al.
Summary of Addressing Prediction Delays in Time Series Forecasting: a Continuous Gru Approach with Derivative Regularization, by Sheo Yon Jhin et al.
Summary of Guided Trajectory Generation with Diffusion Models For Offline Model-based Optimization, by Taeyoung Yun et al.
Summary of Combinations Of Distributional Regression Algorithms with Application in Uncertainty Estimation Of Corrected Satellite Precipitation Products, by Georgia Papacharalampous et al.
Summary of Commute Graph Neural Networks, by Wei Zhuo et al.
Summary of Modelverification.jl: a Comprehensive Toolbox For Formally Verifying Deep Neural Networks, by Tianhao Wei et al.
Summary of Badm: Batch Admm For Deep Learning, by Ouya Wang et al.
Summary of A Deep Generative Framework For Joint Households and Individuals Population Synthesis, by Xiao Qian et al.
Summary of Badllama 3: Removing Safety Finetuning From Llama 3 in Minutes, by Dmitrii Volkov
Summary of Diffusion Forcing: Next-token Prediction Meets Full-sequence Diffusion, by Boyuan Chen et al.
Summary of Beyond Throughput and Compression Ratios: Towards High End-to-end Utility Of Gradient Compression, by Wenchen Han et al.
Summary of Gloss2text: Sign Language Gloss Translation Using Llms and Semantically Aware Label Smoothing, by Pooya Fayyazsanavi et al.
Summary of Semantic Compositions Enhance Vision-language Contrastive Learning, by Maxwell Aladago et al.
Summary of Needle in the Haystack For Memory Based Large Language Models, by Elliot Nelson et al.
Summary of Gat-steiner: Rectilinear Steiner Minimal Tree Prediction Using Gnns, by Bugra Onal et al.
Summary of Contractual Reinforcement Learning: Pulling Arms with Invisible Hands, by Jibang Wu et al.
Summary of Fastclip: a Suite Of Optimization Techniques to Accelerate Clip Training with Limited Resources, by Xiyuan Wei et al.
Summary of Information-theoretic Foundations For Neural Scaling Laws, by Hong Jun Jeon et al.
Summary of Graph Neural Network As Computationally Efficient Emulator Of Ice-sheet and Sea-level System Model (issm), by Younghyun Koo et al.
Summary of On Implications Of Scaling Laws on Feature Superposition, by Pavan Katta
Summary of The Balanced-pairwise-affinities Feature Transform, by Daniel Shalam and Simon Korman
Summary of Tree Search For Language Model Agents, by Jing Yu Koh et al.
Summary of Ai Agents That Matter, by Sayash Kapoor et al.
Summary of Towards Multimodal Open-set Domain Generalization and Adaptation Through Self-supervision, by Hao Dong et al.
Summary of Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing, by Bingliang Zhang et al.