Paper List

We recommend you use the search box as this list is very long.

Summary of Thinner Latent Spaces: Detecting Dimension and Imposing Invariance Through Autoencoder Gradient Constraints, by George A. Kevrekidis et al.
Summary of Variational Mode Decomposition and Linear Embeddings Are What You Need For Time-series Forecasting, by Hafizh Raihan Kurnia Putra et al.
Summary of Charteye: a Deep Learning Framework For Chart Information Extraction, by Osama Mustafa et al.
Summary of Gans Conditioning Methods: a Survey, by Anis Bourou et al.
Summary of Auxiliary-loss-free Load Balancing Strategy For Mixture-of-experts, by Lean Wang et al.
Summary of Towards Reliable Respiratory Disease Diagnosis Based on Cough Sounds and Vision Transformers, by Qian Wang et al.
Summary of Evaluating Model Robustness Using Adaptive Sparse L0 Regularization, by Weiyou Liu and Zhenyang Li and Weitong Chen
Summary of Pixels to Prose: Understanding the Art Of Image Captioning, by Hrishikesh Singh et al.
Summary of Autoregressive Model Path Dependence Near Ising Criticality, by Yi Hong Teoh and Roger G. Melko
Summary of A Neural Material Point Method For Particle-based Emulation, by Omer Rochman Sharabi and Sacha Lewin and Gilles Louppe
Summary of Tcnformer: Temporal Convolutional Network Former For Short-term Wind Speed Forecasting, by Abid Hasan Zim et al.
Summary of Learning Harmonized Representations For Speculative Sampling, by Lefan Zhang et al.
Summary of Implicit Regularization Paths Of Weighted Neural Representations, by Jin-hong Du et al.
Summary of Efficient Llm Scheduling by Learning to Rank, By Yichao Fu et al.
Summary of Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure Bfloat16 Is Enough, by Konstantin Dobler and Gerard De Melo
Summary of Automatic Differential Diagnosis Using Transformer-based Multi-label Sequence Classification, by Abu Adnan Sadi et al.
Summary of Microyolo: Towards Single-shot Object Detection on Microcontrollers, by Mark Deutel et al.
Summary of The Role Of Fibration Symmetries in Geometric Deep Learning, by Osvaldo Velarde et al.
Summary of Bias in Llms As Annotators: the Effect Of Party Cues on Labelling Decision by Large Language Models, By Sebastian Vallejo Vera and Hunter Driggers
Summary of A New Method For Cross-lingual-based Semantic Role Labeling, by Mohammad Ebrahimi et al.
Summary of Cogen: Learning From Feedback with Coupled Comprehension and Generation, by Mustafa Omer Gul et al.
Summary of Metagfn: Exploring Distant Modes with Adapted Metadynamics For Continuous Gflownets, by Dominic Phillips and Flaviu Cipcigan
Summary of Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation, by Reid Graves and Amir Barati Farimani
Summary of Scan-edge: Finding Mobilenet-speed Hybrid Networks For Diverse Edge Devices Via Hardware-aware Evolutionary Search, by Hung-yueh Chiang et al.
Summary of Evaluating Pre-training Bias on Severe Acute Respiratory Syndrome Dataset, by Diego Dimer Rodrigues
Summary of A Statistical Framework For Data-dependent Retrieval-augmented Models, by Soumya Basu et al.
Summary of Simultaneous Training Of First- and Second-order Optimizers in Population-based Reinforcement Learning, by Felix Pfeiffer et al.
Summary of Implicit Geometry Of Next-token Prediction: From Language Sparsity Patterns to Model Representations, by Yize Zhao et al.
Summary of Avoiding Generative Model Writer’s Block with Embedding Nudging, by Ali Zand and Milad Nasr
Summary of Certified Causal Defense with Generalizable Robustness, by Yiran Qiao et al.
Summary of Remove Symmetries to Control Model Expressivity and Improve Optimization, by Liu Ziyin et al.
Summary of Deep Learning to Predict Late-onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (shgs) Strategy For Meta Tuning Concerning Deep Feed-forward Neural Network, by Yijun Zhou et al.
Summary of Moduli: Unlocking Preference Generalization Via Diffusion Models For Offline Multi-objective Reinforcement Learning, by Yifu Yuan et al.
Summary of How Reliable Are Causal Probing Interventions?, by Marc Canby et al.
Summary of Improving Thompson Sampling Via Information Relaxation For Budgeted Multi-armed Bandits, by Woojin Jeong et al.
Summary of Scilitllm: How to Adapt Llms For Scientific Literature Understanding, by Sihang Li et al.
Summary of Boosting Lossless Speculative Decoding Via Feature Sampling and Partial Alignment Distillation, by Lujun Gui et al.
Summary of A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model For Variable Terrain Conditions, by Sourav Malakar et al.
Summary of Skills Regularized Task Decomposition For Multi-task Offline Reinforcement Learning, by Minjong Yoo et al.
Summary of Vflip: a Backdoor Defense For Vertical Federated Learning Via Identification and Purification, by Yungi Cho et al.
Summary of Exploring Selective Layer Fine-tuning in Federated Learning, by Yuchang Sun and Yuexiang Xie and Bolin Ding and Yaliang Li and Jun Zhang
Summary of Large-scale Demand Prediction in Urban Rail Using Multi-graph Inductive Representation Learning, by Dang Viet Anh Nguyen et al.
Summary of Caper: Enhancing Career Trajectory Prediction Using Temporal Knowledge Graph and Ternary Relationship, by Yeon-chang Lee et al.
Summary of Generative Verifiers: Reward Modeling As Next-token Prediction, by Lunjun Zhang et al.
Summary of Vfusedseg3d: 3rd Place Solution For 2024 Waymo Open Dataset Challenge in Semantic Segmentation, by Osama Amjad and Ammad Nadeem
Summary of Trajfm: a Vehicle Trajectory Foundation Model For Region and Task Transferability, by Yan Lin et al.
Summary of Skillmimic: Learning Reusable Basketball Skills From Demonstrations, by Yinhuai Wang et al.
Summary of A Survey Of Deep Learning For Group-level Emotion Recognition, by Xiaohua Huang et al.
Summary of Evaluating the Predictive Features Of Person-centric Knowledge Graph Embeddings: Unfolding Ablation Studies, by Christos Theodoropoulos et al.
Summary of Recent Advances in Meta-model Of Optimal Prognosis, by Thomas Most et al.
Summary of Learning Granularity Representation For Temporal Knowledge Graph Completion, by Jinchuan Zhang et al.
Summary of Gift-sw: Gaussian Noise Injected Fine-tuning Of Salient Weights For Llms, by Maxim Zhelnin et al.
Summary of The Uniqueness Of Llama3-70b Series with Per-channel Quantization, by Minghai Qin
Summary of Parameter-efficient Quantized Mixture-of-experts Meets Vision-language Instruction Tuning For Semiconductor Electron Micrograph Analysis, by Sakhinana Sagar Srinivas et al.
Summary of What Makes Math Problems Hard For Reinforcement Learning: a Case Study, by Ali Shehper et al.
Summary of Bi-factorial Preference Optimization: Balancing Safety-helpfulness in Language Models, by Wenxuan Zhang et al.
Summary of Una: Unifying Alignments Of Rlhf/ppo, Dpo and Kto by a Generalized Implicit Reward Function, By Zhichao Wang et al.
Summary of Conformal Disentanglement: a Neural Framework For Perspective Synthesis and Differentiation, by George A. Kevrekidis et al.
Summary of On the Effectiveness Of Smartphone Imu Sensors and Deep Learning in the Detection Of Cardiorespiratory Conditions, by Lorenzo Simone et al.
Summary of Optimal Level Set Estimation For Non-parametric Tournament and Crowdsourcing Problems, by Maximilian Graf et al.
Summary of Cyclegan with Better Cycles, by Tongzhou Wang et al.
Summary of Optimization Solution Functions As Deterministic Policies For Offline Reinforcement Learning, by Vanshaj Khattar and Ming Jin
Summary of Handling Geometric Domain Shifts in Semantic Segmentation Of Surgical Rgb and Hyperspectral Images, by Silvia Seidlitz et al.
Summary of Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation, by Chan Hsu et al.
Summary of Subgroup Analysis Via Model-based Rule Forest, by I-ling Cheng et al.
Summary of Monas: Efficient Zero-shot Neural Architecture Search For Mcus, by Ye Qiao et al.
Summary of The Benefits Of Balance: From Information Projections to Variance Reduction, by Lang Liu et al.
Summary of Interactive Dense Pixel Visualizations For Time Series and Model Attribution Explanations, by Udo Schlegel et al.
Summary of Miwaves Reinforcement Learning Algorithm, by Susobhan Ghosh et al.
Summary of Mmasd+: a Novel Dataset For Privacy-preserving Behavior Analysis Of Children with Autism Spectrum Disorder, by Pavan Uttej Ravva et al.
Summary of Constrained Diffusion Models Via Dual Training, by Shervin Khalafi and Dongsheng Ding and Alejandro Ribeiro
Summary of No Regrets: Investigating and Improving Regret Approximations For Curriculum Discovery, by Alexander Rutherford et al.
Summary of Post-processing Fairness with Minimal Changes, by Federico Di Gennaro et al.
Summary of Few-shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries, by Amine Ouasfi et al.
Summary of Evaluating the Energy Consumption Of Machine Learning: Systematic Literature Review and Experiments, by Charlotte Rodriguez et al.
Summary of Using Llms For Explaining Sets Of Counterfactual Examples to Final Users, by Arturo Fredes and Jordi Vitria
Summary of Low-budget Simulation-based Inference with Bayesian Neural Networks, by Arnaud Delaunoy et al.
Summary of How Transformers Learn Structured Data: Insights From Hierarchical Filtering, by Jerome Garnier-brun et al.
Summary of Delay As Payoff in Mab, by Ofir Schlisselberg et al.
Summary of Llm Defenses Are Not Robust to Multi-turn Human Jailbreaks Yet, by Nathaniel Li et al.
Summary of Latent Ewald Summation For Machine Learning Of Long-range Interactions, by Bingqing Cheng
Summary of The Mamba in the Llama: Distilling and Accelerating Hybrid Models, by Junxiong Wang et al.
Summary of Multi-slice Spatial Transcriptomics Data Integration Analysis with Stg3net, by Donghai Fang et al.
Summary of Unsupervised-to-online Reinforcement Learning, by Junsu Kim et al.
Summary of Learning From Complementary Features, by Kosuke Sugiyama and Masato Uchida
Summary of Poly2vec: Polymorphic Encoding Of Geospatial Objects For Spatial Reasoning with Deep Neural Networks, by Maria Despoina Siampou et al.
Summary of A Comprehensive Benchmark Of Machine and Deep Learning Across Diverse Tabular Datasets, by Assaf Shmuel et al.
Summary of Drl-based Federated Self-supervised Learning For Task Offloading and Resource Allocation in Isac-enabled Vehicle Edge Computing, by Xueying Gu et al.
Summary of Data-driven Effective Modeling Of Multiscale Stochastic Dynamical Systems, by Yuan Chen and Dongbin Xiu
Summary of From Rule-based Models to Deep Learning Transformers Architectures For Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation, by Nada Shahin and Leila Ismail
Summary of Diffusion Models Are Real-time Game Engines, by Dani Valevski et al.
Summary of From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models, by Kaylee Chhua et al.
Summary of Cl4kge: a Curriculum Learning Method For Knowledge Graph Embedding, by Yang Liu et al.
Summary of Correntropy-based Improper Likelihood Model For Robust Electrophysiological Source Imaging, by Yuanhao Li et al.
Summary of Dynamic Operator Management in Meta-heuristics Using Reinforcement Learning: An Application to Permutation Flowshop Scheduling Problems, by Maryam Karimi Mamaghan et al.
Summary of Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models, by Hongfu Liu et al.
Summary of Learning Robust Reward Machines From Noisy Labels, by Roko Parac et al.
Summary of Adversarial Attacks and Defenses in Multivariate Time-series Forecasting For Smart and Connected Infrastructures, by Pooja Krishan et al.
Summary of Spikingssms: Learning Long Sequences with Sparse and Parallel Spiking State Space Models, by Shuaijie Shen et al.
Summary of Quotient Normalized Maximum Likelihood Criterion For Learning Bayesian Network Structures, by Tomi Silander et al.