Paper List

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Summary of Proximal Policy Optimization with Adaptive Exploration, by Andrei Lixandru
Summary of Interpretable Tensor Fusion, by Saurabh Varshneya et al.
Summary of Talc: Time-aligned Captions For Multi-scene Text-to-video Generation, by Hritik Bansal et al.
Summary of Bridging the Bosphorus: Advancing Turkish Large Language Models Through Strategies For Low-resource Language Adaptation and Benchmarking, by Emre Can Acikgoz et al.
Summary of Robust Implementation Of Retrieval-augmented Generation on Edge-based Computing-in-memory Architectures, by Ruiyang Qin et al.
Summary of Untangling Lariats: Subgradient Following Of Variationally Penalized Objectives, by Kai-chia Mo et al.
Summary of Conditional Local Feature Encoding For Graph Neural Networks, by Yongze Wang et al.
Summary of Biaskg: Adversarial Knowledge Graphs to Induce Bias in Large Language Models, by Chu Fei Luo et al.
Summary of Multi-label Out-of-distribution Detection with Spectral Normalized Joint Energy, by Yihan Mei et al.
Summary of When Foresight Pruning Meets Zeroth-order Optimization: Efficient Federated Learning For Low-memory Devices, by Pengyu Zhang et al.
Summary of Test-time Augmentation For Traveling Salesperson Problem, by Ryo Ishiyama et al.
Summary of Hypergraph-enhanced Dual Semi-supervised Graph Classification, by Wei Ju et al.
Summary of Zero-shot Llm-guided Counterfactual Generation: a Case Study on Nlp Model Evaluation, by Amrita Bhattacharjee et al.
Summary of Deepdamagenet: a Two-step Deep-learning Model For Multi-disaster Building Damage Segmentation and Classification Using Satellite Imagery, by Irene Alisjahbana et al.
Summary of Proportion Estimation by Masked Learning From Label Proportion, By Takumi Okuo et al.
Summary of Xmtrans: Temporal Attentive Cross-modality Fusion Transformer For Long-term Traffic Prediction, by Huy Quang Ung et al.
Summary of Explaining Clustering Of Ecological Momentary Assessment Data Through Temporal and Feature Attention, by Mandani Ntekouli et al.
Summary of Scala: Split Federated Learning with Concatenated Activations and Logit Adjustments, by Jiarong Yang and Yuan Liu
Summary of Regime Learning For Differentiable Particle Filters, by John-joseph Brady and Yuhui Luo and Wenwu Wang and Victor Elvira and Yunpeng Li
Summary of Freebind: Free Lunch in Unified Multimodal Space Via Knowledge Fusion, by Zehan Wang et al.
Summary of Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks, by Rongrong Ma et al.
Summary of Learning with Posterior Sampling For Revenue Management Under Time-varying Demand, by Kazuma Shimizu et al.
Summary of Datasp: a Differential All-to-all Shortest Path Algorithm For Learning Costs and Predicting Paths with Context, by Alan A. Lahoud et al.
Summary of Fault Identification Enhancement with Reinforcement Learning (fierl), by Valentina Zaccaria et al.
Summary of Verified Neural Compressed Sensing, by Rudy Bunel et al.
Summary of Uncertainty Quantification Metrics For Deep Regression, by Simon Kristoffersson Lind et al.
Summary of Open Implementation and Study Of Best-rq For Speech Processing, by Ryan Whetten et al.
Summary of The Curse Of Diversity in Ensemble-based Exploration, by Zhixuan Lin et al.
Summary of Revisiting Character-level Adversarial Attacks For Language Models, by Elias Abad Rocamora and Yongtao Wu and Fanghui Liu and Grigorios G. Chrysos and Volkan Cevher
Summary of Towards Stability Of Parameter-free Optimization, by Yijiang Pang et al.
Summary of Efficient Online Set-valued Classification with Bandit Feedback, by Zhou Wang et al.
Summary of Weakly-supervised Residual Evidential Learning For Multi-instance Uncertainty Estimation, by Pei Liu and Luping Ji
Summary of Vision Mamba: a Comprehensive Survey and Taxonomy, by Xiao Liu et al.
Summary of Super-exponential Regret For Uct, Alphago and Variants, by Laurent Orseau et al.
Summary of Vattention: Dynamic Memory Management For Serving Llms Without Pagedattention, by Ramya Prabhu et al.
Summary of A Significantly Better Class Of Activation Functions Than Relu Like Activation Functions, by Mathew Mithra Noel et al.
Summary of Optpde: Discovering Novel Integrable Systems Via Ai-human Collaboration, by Subhash Kantamneni et al.
Summary of Adapting Wavlm For Speech Emotion Recognition, by Daria Diatlova et al.
Summary of Torchdriveenv: a Reinforcement Learning Benchmark For Autonomous Driving with Reactive, Realistic, and Diverse Non-playable Characters, by Jonathan Wilder Lavington et al.
Summary of Representation Learning Of Daily Movement Data Using Text Encoders, by Alexander Capstick et al.
Summary of Toward In-context Teaching: Adapting Examples to Students’ Misconceptions, by Alexis Ross and Jacob Andreas
Summary of Xlstm: Extended Long Short-term Memory, by Maximilian Beck et al.
Summary of Switchable Decision: Dynamic Neural Generation Networks, by Shujian Zhang et al.
Summary of Naturalcodebench: Examining Coding Performance Mismatch on Humaneval and Natural User Prompts, by Shudan Zhang et al.
Summary of Unmasking Illusions: Understanding Human Perception Of Audiovisual Deepfakes, by Ammarah Hashmi et al.
Summary of Continual Learning in the Presence Of Repetition, by Hamed Hemati et al.
Summary of Adaptive Least Mean Pth Power Graph Neural Networks, by Yi Yan et al.
Summary of Acceleration Algorithms in Gnns: a Survey, by Lu Ma et al.
Summary of Policy Learning with a Language Bottleneck, by Megha Srivastava et al.
Summary of Refining Joint Text and Source Code Embeddings For Retrieval Task with Parameter-efficient Fine-tuning, by Karim Galliamov et al.
Summary of Ranking-based Client Selection with Imitation Learning For Efficient Federated Learning, by Chunlin Tian et al.
Summary of Geometry and Dynamics Of Layernorm, by Paul M. Riechers
Summary of Gas Source Localization Using Physics Guided Neural Networks, by Victor Scott Prieto Ruiz et al.
Summary of Multiparameter Regularization and Aggregation in the Context Of Polynomial Functional Regression, by Elke R. Gizewski and Markus Holzleitner and Lukas Mayer-suess and Sergiy Pereverzyev Jr. and Sergei V. Pereverzyev
Summary of Opportunities For Machine Learning in Scientific Discovery, by Ricardo Vinuesa et al.
Summary of Fedstale: Leveraging Stale Client Updates in Federated Learning, by Angelo Rodio and Giovanni Neglia
Summary of Sora Detector: a Unified Hallucination Detection For Large Text-to-video Models, by Zhixuan Chu et al.
Summary of Effective and Robust Adversarial Training Against Data and Label Corruptions, by Peng-fei Zhang et al.
Summary of Vidu: a Highly Consistent, Dynamic and Skilled Text-to-video Generator with Diffusion Models, by Fan Bao et al.
Summary of Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks, by Sondre Glimsdal et al.
Summary of Exploring Correlations Of Self-supervised Tasks For Graphs, by Taoran Fang et al.
Summary of Federated Learning For Collaborative Inference Systems: the Case Of Early Exit Networks, by Caelin Kaplan et al.
Summary of A General Model For Detecting Learner Engagement: Implementation and Evaluation, by Somayeh Malekshahi et al.
Summary of Vaeneu: a New Avenue For Vae Application on Probabilistic Forecasting, by Alireza Koochali et al.
Summary of Predictive Modeling with Temporal Graphical Representation on Electronic Health Records, by Jiayuan Chen et al.
Summary of Relating-up: Advancing Graph Neural Networks Through Inter-graph Relationships, by Qi Zou et al.
Summary of Ipfed: Identity Protected Federated Learning For User Authentication, by Yosuke Kaga et al.
Summary of Simple Drop-in Lora Conditioning on Attention Layers Will Improve Your Diffusion Model, by Joo Young Choi et al.
Summary of Structure-based Drug Design by Denoising Voxel Grids, By Pedro O. Pinheiro and Arian Jamasb and Omar Mahmood and Vishnu Sresht and Saeed Saremi
Summary of Adsorbdiff: Adsorbate Placement Via Conditional Denoising Diffusion, by Adeesh Kolluru et al.
Summary of Eratta: Extreme Rag For Table to Answers with Large Language Models, by Sohini Roychowdhury et al.
Summary of Predicting Lung Disease Severity Via Image-based Aqi Analysis Using Deep Learning Techniques, by Anvita Mahajan et al.
Summary of Swiftrl: Towards Efficient Reinforcement Learning on Real Processing-in-memory Systems, by Kailash Gogineni et al.
Summary of Navigating Chemical Space with Latent Flows, by Guanghao Wei and Yining Huang and Chenru Duan and Yue Song and Yuanqi Du
Summary of An Improved Finite-time Analysis Of Temporal Difference Learning with Deep Neural Networks, by Zhifa Ke et al.
Summary of A Unified Post-processing Framework For Group Fairness in Classification, by Ruicheng Xian et al.
Summary of Differentially Private Post-processing For Fair Regression, by Ruicheng Xian et al.
Summary of Federated Control in Markov Decision Processes, by Hao Jin et al.
Summary of Utilizing Gpt to Enhance Text Summarization: a Strategy to Minimize Hallucinations, by Hassan Shakil et al.
Summary of Evaluating Text Summaries Generated by Large Language Models Using Openai’s Gpt, By Hassan Shakil et al.
Summary of Generalized Cauchy-schwarz Divergence and Its Deep Learning Applications, by Mingfei Lu et al.
Summary of Wiser: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer, by Kumar Shubham et al.
Summary of Binarized Simplicial Convolutional Neural Networks, by Yi Yan et al.
Summary of Esp: Extro-spective Prediction For Long-term Behavior Reasoning in Emergency Scenarios, by Dingrui Wang et al.
Summary of Graphsl: An Open-source Library For Graph Source Localization Approaches and Benchmark Datasets, by Junxiang Wang and Liang Zhao
Summary of Select to Perfect: Imitating Desired Behavior From Large Multi-agent Data, by Tim Franzmeyer et al.
Summary of Is Relu Adversarially Robust?, by Korn Sooksatra et al.
Summary of Interpretable Data Fusion For Distributed Learning: a Representative Approach Via Gradient Matching, by Mengchen Fan et al.
Summary of On Adversarial Examples For Text Classification by Perturbing Latent Representations, By Korn Sooksatra et al.
Summary of Synthetic Data From Diffusion Models Improve Drug Discovery Prediction, by Bing Hu et al.
Summary of End-to-end Autoencoder For Drill String Acoustic Communications, by Iurii Lezhenin et al.
Summary of Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples For Deep Learning Models, by Anshuman Chhabra et al.
Summary of Citylearn V2: Energy-flexible, Resilient, Occupant-centric, and Carbon-aware Management Of Grid-interactive Communities, by Kingsley Nweye et al.
Summary of Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning, by Aditya A. Ramesh et al.
Summary of Rethinking Data Shapley For Data Selection Tasks: Misleads and Merits, by Jiachen T. Wang et al.
Summary of Scalable Amortized Gplvms For Single Cell Transcriptomics Data, by Sarah Zhao et al.
Summary of Out-of-distribution Adaptation in Offline Rl: Counterfactual Reasoning Via Causal Normalizing Flows, by Minjae Cho et al.
Summary of Mvdiff: Scalable and Flexible Multi-view Diffusion For 3d Object Reconstruction From Single-view, by Emmanuelle Bourigault and Pauline Bourigault
Summary of Federated Graph Condensation with Information Bottleneck Principles, by Bo Yan et al.
Summary of Transformer Models As An Efficient Replacement For Statistical Test Suites to Evaluate the Quality Of Random Numbers, by Rishabh Goel et al.