Paper List

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Summary of Pragmatic Instruction Following and Goal Assistance Via Cooperative Language-guided Inverse Planning, by Tan Zhi-xuan et al.
Summary of Stc-vit: Spatio Temporal Continuous Vision Transformer For Weather Forecasting, by Hira Saleem et al.
Summary of Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning, by Koshi Oishi et al.
Summary of Qos Prediction in Radio Vehicular Environments Via Prior User Information, by Noor Ul Ain et al.
Summary of Multi-agent Deep Reinforcement Learning For Distributed Satellite Routing, by Federico Lozano-cuadra et al.
Summary of Autonomous Vehicles: Evolution Of Artificial Intelligence and Learning Algorithms, by Divya Garikapati and Sneha Sudhir Shetiya
Summary of Gradient-based Discrete Sampling with Automatic Cyclical Scheduling, by Patrick Pynadath et al.
Summary of Ravel: Evaluating Interpretability Methods on Disentangling Language Model Representations, by Jing Huang et al.
Summary of Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers, by Yiwei Lu et al.
Summary of Federated Learning For Estimating Heterogeneous Treatment Effects, by Disha Makhija et al.
Summary of Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization For Time Series Process Optimization, by Vispi Karkaria et al.
Summary of The Smart Approach to Instance-optimal Online Learning, by Siddhartha Banerjee and Alankrita Bhatt and Christina Lee Yu
Summary of Rebandit: Random Effects Based Online Rl Algorithm For Reducing Cannabis Use, by Susobhan Ghosh et al.
Summary of Markovletics: Methods and a Novel Application For Learning Continuous-time Markov Chain Mixtures, by Fabian Spaeh et al.
Summary of When Your Ais Deceive You: Challenges Of Partial Observability in Reinforcement Learning From Human Feedback, by Leon Lang et al.
Summary of Evaluating Very Long-term Conversational Memory Of Llm Agents, by Adyasha Maharana et al.
Summary of Robustly Learning Single-index Models Via Alignment Sharpness, by Nikos Zarifis et al.
Summary of Massive Activations in Large Language Models, by Mingjie Sun et al.
Summary of The Era Of 1-bit Llms: All Large Language Models Are in 1.58 Bits, by Shuming Ma et al.
Summary of Stepwise Self-consistent Mathematical Reasoning with Large Language Models, by Zilong Zhao et al.
Summary of Label Informed Contrastive Pretraining For Node Importance Estimation on Knowledge Graphs, by Tianyu Zhang et al.
Summary of A Surprising Failure? Multimodal Llms and the Nlvr Challenge, by Anne Wu et al.
Summary of Time Series Analysis in Compressor-based Machines: a Survey, by Francesca Forbicini et al.
Summary of Bit Distribution Study and Implementation Of Spatial Quality Map in the Jpeg-ai Standardization, by Panqi Jia et al.
Summary of Ds-agent: Automated Data Science by Empowering Large Language Models with Case-based Reasoning, By Siyuan Guo et al.
Summary of Super Consistency Of Neural Network Landscapes and Learning Rate Transfer, by Lorenzo Noci et al.
Summary of Ragformer: Learning Semantic Attributes and Topological Structure For Fraud Detection, by Haolin Li et al.
Summary of Intensive Care As One Big Sequence Modeling Problem, by Vadim Liventsev et al.
Summary of Bit Rate Matching Algorithm Optimization in Jpeg-ai Verification Model, by Panqi Jia et al.
Summary of Quce: the Minimisation and Quantification Of Path-based Uncertainty For Generative Counterfactual Explanations, by Jamie Duell et al.
Summary of Evaluation Of Predictive Reliability to Foster Trust in Artificial Intelligence. a Case Study in Multiple Sclerosis, by Lorenzo Peracchio et al.
Summary of Label-noise Robust Diffusion Models, by Byeonghu Na et al.
Summary of Structure-guided Adversarial Training Of Diffusion Models, by Ling Yang et al.
Summary of Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting, by Daniel Iong et al.
Summary of Hyperdimensional Computing: a Fast, Robust and Interpretable Paradigm For Biological Data, by Michiel Stock et al.
Summary of Dagnosis: Localized Identification Of Data Inconsistencies Using Structures, by Nicolas Huynh et al.
Summary of Implicit Regularization Via Spectral Neural Networks and Non-linear Matrix Sensing, by Hong T.m. Chu et al.
Summary of Advancing Sleep Detection by Modelling Weak Label Sets: a Novel Weakly Supervised Learning Approach, By Matthias Boeker et al.
Summary of Learning Topological Representations with Bidirectional Graph Attention Network For Solving Job Shop Scheduling Problem, by Cong Zhang et al.
Summary of Variational Learning Is Effective For Large Deep Networks, by Yuesong Shen et al.
Summary of Confidence-aware Multi-field Model Calibration, by Yuang Zhao et al.
Summary of Torchmd-net 2.0: Fast Neural Network Potentials For Molecular Simulations, by Raul P. Pelaez et al.
Summary of Securing Reliability: a Brief Overview on Enhancing In-context Learning For Foundation Models, by Yunpeng Huang et al.
Summary of Fedbrb: An Effective Solution to the Small-to-large Scenario in Device-heterogeneity Federated Learning, by Ziyue Xu et al.
Summary of Temporal Logic Specification-conditioned Decision Transformer For Offline Safe Reinforcement Learning, by Zijian Guo et al.
Summary of Efficient Backpropagation with Variance-controlled Adaptive Sampling, by Ziteng Wang et al.
Summary of Preserving Fairness Generalization in Deepfake Detection, by Li Lin et al.
Summary of Stochastic Gradient Succeeds For Bandits, by Jincheng Mei and Zixin Zhong and Bo Dai and Alekh Agarwal and Csaba Szepesvari and Dale Schuurmans
Summary of Does Negative Sampling Matter? a Review with Insights Into Its Theory and Applications, by Zhen Yang et al.
Summary of Rime: Robust Preference-based Reinforcement Learning with Noisy Preferences, by Jie Cheng et al.
Summary of Curriculum Learning Meets Directed Acyclic Graph For Multimodal Emotion Recognition, by Cam-van Thi Nguyen et al.
Summary of An Interpretable Evaluation Of Entropy-based Novelty Of Generative Models, by Jingwei Zhang et al.
Summary of Multi-agent, Human-agent and Beyond: a Survey on Cooperation in Social Dilemmas, by Chunjiang Mu et al.
Summary of Data-efficient Learning Via Clustering-based Sensitivity Sampling: Foundation Models and Beyond, by Kyriakos Axiotis et al.
Summary of Enhanced Bayesian Optimization Via Preferential Modeling Of Abstract Properties, by Arun Kumar a V et al.
Summary of Localgcl: Local-aware Contrastive Learning For Graphs, by Haojun Jiang et al.
Summary of Accelerating Diffusion Sampling with Optimized Time Steps, by Shuchen Xue et al.
Summary of Lspt: Long-term Spatial Prompt Tuning For Visual Representation Learning, by Shentong Mo et al.
Summary of Robustness-congruent Adversarial Training For Secure Machine Learning Model Updates, by Daniele Angioni et al.
Summary of Reinforced In-context Black-box Optimization, by Lei Song et al.
Summary of A Novel Image Space Formalism Of Fourier Domain Interpolation Neural Networks For Noise Propagation Analysis, by Peter Dawood et al.
Summary of The Kandy Benchmark: Incremental Neuro-symbolic Learning and Reasoning with Kandinsky Patterns, by Luca Salvatore Lorello et al.
Summary of Principled Architecture-aware Scaling Of Hyperparameters, by Wuyang Chen et al.
Summary of Taming the Tail in Class-conditional Gans: Knowledge Sharing Via Unconditional Training at Lower Resolutions, by Saeed Khorram et al.
Summary of A Note on Bayesian Networks with Latent Root Variables, by Marco Zaffalon and Alessandro Antonucci
Summary of Parallelized Spatiotemporal Binding, by Gautam Singh et al.
Summary of Learnability Of High-dimensional Targets by Two-parameter Models and Gradient Flow, By Dmitry Yarotsky
Summary of Adversarial Perturbations Of Physical Signals, by Robert L. Bassett et al.
Summary of Sinkhorn Distance Minimization For Knowledge Distillation, by Xiao Cui et al.
Summary of Lcen: a Novel Feature Selection Algorithm For Nonlinear, Interpretable Machine Learning Models, by Pedro Seber and Richard D. Braatz
Summary of Achievable Fairness on Your Data with Utility Guarantees, by Muhammad Faaiz Taufiq et al.
Summary of Oscar: Object State Captioning and State Change Representation, by Nguyen Nguyen et al.
Summary of Predicting O-glcnacylation Sites in Mammalian Proteins with Transformers and Rnns Trained with a New Loss Function, by Pedro Seber
Summary of Unsupervised Zero-shot Reinforcement Learning Via Functional Reward Encodings, by Kevin Frans et al.
Summary of Actions Speak Louder Than Words: Trillion-parameter Sequential Transducers For Generative Recommendations, by Jiaqi Zhai et al.
Summary of Taxdiff: Taxonomic-guided Diffusion Model For Protein Sequence Generation, by Lin Zongying et al.
Summary of Generative Learning For Forecasting the Dynamics Of Complex Systems, by Han Gao et al.
Summary of Deepdrk: Deep Dependency Regularized Knockoff For Feature Selection, by Hongyu Shen and Yici Yan and Zhizhen Zhao
Summary of Sora: a Review on Background, Technology, Limitations, and Opportunities Of Large Vision Models, by Yixin Liu et al.
Summary of Molecule Design by Latent Prompt Transformer, By Deqian Kong et al.
Summary of When Scaling Meets Llm Finetuning: the Effect Of Data, Model and Finetuning Method, by Biao Zhang et al.
Summary of Inpainting Computational Fluid Dynamics with Deep Learning, by Dule Shu et al.
Summary of Measuring Vision-language Stem Skills Of Neural Models, by Jianhao Shen et al.
Summary of Trustworthy Personalized Bayesian Federated Learning Via Posterior Fine-tune, by Mengen Luo et al.
Summary of Pdetime: Rethinking Long-term Multivariate Time Series Forecasting From the Perspective Of Partial Differential Equations, by Shiyi Qi et al.
Summary of M2mkd: Module-to-module Knowledge Distillation For Modular Transformers, by Ka Man Lo et al.
Summary of More Than Routing: Joint Gps and Route Modeling For Refine Trajectory Representation Learning, by Zhipeng Ma et al.
Summary of Personalized Federated Instruction Tuning Via Neural Architecture Search, by Pengyu Zhang et al.
Summary of Minimize Control Inputs For Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network, by Mengbang Zou et al.
Summary of Incremental Concept Formation Over Visual Images Without Catastrophic Forgetting, by Nicki Barari et al.
Summary of Fedreview: a Review Mechanism For Rejecting Poisoned Updates in Federated Learning, by Tianhang Zheng and Baochun Li
Summary of Disentangled 3d Scene Generation with Layout Learning, by Dave Epstein et al.
Summary of A Phase Transition in Diffusion Models Reveals the Hierarchical Nature Of Data, by Antonio Sclocchi et al.
Summary of Gem3d: Generative Medial Abstractions For 3d Shape Synthesis, by Dmitry Petrov et al.
Summary of What Do Language Models Hear? Probing For Auditory Representations in Language Models, by Jerry Ngo et al.
Summary of Monitoring Fidelity Of Online Reinforcement Learning Algorithms in Clinical Trials, by Anna L. Trella et al.
Summary of Discovering Abstract Symbolic Relations by Learning Unitary Group Representations, By Dongsung Huh
Summary of A Curious Case Of Remarkable Resilience to Gradient Attacks Via Fully Convolutional and Differentiable Front End with a Skip Connection, by Leonid Boytsov et al.
Summary of Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset, by Santosh T.y.s.s et al.
Summary of Refactor: Learning to Extract Theorems From Proofs, by Jin Peng Zhou et al.