Paper List

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

Summary of Robust Model-based Reinforcement Learning with An Adversarial Auxiliary Model, by Siemen Herremans et al.
Summary of Impact Of Speech Mode in Automatic Pathological Speech Detection, by Shakeel A. Sheikh and Ina Kodrasi
Summary of Self-supervised and Few-shot Learning For Robust Bioaerosol Monitoring, by Adrian Willi et al.
Summary of An Elementary Proof Of a Universal Approximation Theorem, by Chris Monico
Summary of Explainable Ai For Comparative Analysis Of Intrusion Detection Models, by Pap M. Corea et al.
Summary of Meta-learning Loss Functions For Deep Neural Networks, by Christian Raymond
Summary of Cross-view Geo-localization: a Survey, by Abhilash Durgam et al.
Summary of Large Language Model Validity Via Enhanced Conformal Prediction Methods, by John J. Cherian et al.
Summary of When Will Gradient Regularization Be Harmful?, by Yang Zhao et al.
Summary of How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis, by Yuxin Dong et al.
Summary of Deep Symbolic Optimization For Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics, By Hongyu Liu et al.
Summary of Towards Efficient Pareto Set Approximation Via Mixture Of Experts Based Model Fusion, by Anke Tang et al.
Summary of Bootstrapping Language Models with Dpo Implicit Rewards, by Changyu Chen et al.
Summary of Deltaphi: Learning Physical Trajectory Residual For Pde Solving, by Xihang Yue et al.
Summary of Unraveling Anomalies in Time: Unsupervised Discovery and Isolation Of Anomalous Behavior in Bio-regenerative Life Support System Telemetry, by Ferdinand Rewicki et al.
Summary of Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach, by Gang Hu et al.
Summary of A Training-free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention, by Heejun Lee et al.
Summary of I Know How: Combining Prior Policies to Solve New Tasks, by Malio Li et al.
Summary of Federated Learning Driven Large Language Models For Swarm Intelligence: a Survey, by Youyang Qu
Summary of Tabularfm: An Open Framework For Tabular Foundational Models, by Quan M. Tran et al.
Summary of Robustness Inspired Graph Backdoor Defense, by Zhiwei Zhang et al.
Summary of Dataset Condensation with Latent Quantile Matching, by Wei Wei et al.
Summary of Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge, by Yizhen Luo et al.
Summary of Luma: a Benchmark Dataset For Learning From Uncertain and Multimodal Data, by Grigor Bezirganyan et al.
Summary of Towards Domain Adaptive Neural Contextual Bandits, by Ziyan Wang et al.
Summary of E-cop : Episodic Constrained Optimization Of Policies, by Akhil Agnihotri et al.
Summary of Improving Consistency Models with Generator-augmented Flows, by Thibaut Issenhuth et al.
Summary of Online Bandit Learning with Offline Preference Data, by Akhil Agnihotri et al.
Summary of A Review Of 315 Benchmark and Test Functions For Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions, by M.z. Naser et al.
Summary of Learning Color Equivariant Representations, by Yulong Yang et al.
Summary of On Value Iteration Convergence in Connected Mdps, by Arsenii Mustafin et al.
Summary of Cross-modality Program Representation Learning For Electronic Design Automation with High-level Synthesis, by Zongyue Qin et al.
Summary of Automated Molecular Concept Generation and Labeling with Large Language Models, by Zimin Zhang et al.
Summary of Drivaernet++: a Large-scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks, by Mohamed Elrefaie et al.
Summary of Muharaf: Manuscripts Of Handwritten Arabic Dataset For Cursive Text Recognition, by Mehreen Saeed et al.
Summary of Raspnet: a Benchmark Dataset For Radar Adaptive Signal Processing Applications, by Shyam Venkatasubramanian et al.
Summary of Tgb 2.0: a Benchmark For Learning on Temporal Knowledge Graphs and Heterogeneous Graphs, by Julia Gastinger et al.
Summary of Reinforced Decoder: Towards Training Recurrent Neural Networks For Time Series Forecasting, by Qi Sima et al.
Summary of An Intrinsic Vector Heat Network, by Alexander Gao et al.
Summary of Rsend: Retinex-based Squeeze and Excitation Network with Dark Region Detection For Efficient Low Light Image Enhancement, by Jingcheng Li et al.
Summary of Benchmarking Spectral Graph Neural Networks: a Comprehensive Study on Effectiveness and Efficiency, by Ningyi Liao et al.
Summary of Mitigating Over-exploration in Latent Space Optimization Using Les, by Omer Ronen et al.
Summary of Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks, by Yingchao Yu et al.
Summary of An Efficient Approach to Regression Problems with Tensor Neural Networks, by Yongxin Li et al.
Summary of Why Warmup the Learning Rate? Underlying Mechanisms and Improvements, by Dayal Singh Kalra and Maissam Barkeshli
Summary of 4m-21: An Any-to-any Vision Model For Tens Of Tasks and Modalities, by Roman Bachmann et al.
Summary of Data Attribution For Text-to-image Models by Unlearning Synthesized Images, By Sheng-yu Wang et al.
Summary of Explore the Limits Of Omni-modal Pretraining at Scale, by Yiyuan Zhang et al.
Summary of An Image Is Worth More Than 16×16 Patches: Exploring Transformers on Individual Pixels, by Duy-kien Nguyen et al.
Summary of Interpreting the Weight Space Of Customized Diffusion Models, by Amil Dravid et al.
Summary of Enhancing Activity Recognition After Stroke: Generative Adversarial Networks For Kinematic Data Augmentation, by Aaron J. Hadley and Christopher L. Pulliam
Summary of Rethinking Score Distillation As a Bridge Between Image Distributions, by David Mcallister et al.
Summary of Q-s5: Towards Quantized State Space Models, by Steven Abreu et al.
Summary of Elf-ua: Efficient Label-free User Adaptation in Gaze Estimation, by Yong Wu et al.
Summary of Cleandiffuser: An Easy-to-use Modularized Library For Diffusion Models in Decision Making, by Zibin Dong et al.
Summary of Fade: Towards Fairness-aware Augmentation For Domain Generalization Via Classifier-guided Score-based Diffusion Models, by Yujie Lin et al.
Summary of Fair Glasso: Estimating Fair Graphical Models with Unbiased Statistical Behavior, by Madeline Navarro et al.
Summary of Differentiable Reasoning About Knowledge Graphs with Region-based Graph Neural Networks, by Aleksandar Pavlovic et al.
Summary of Flea: Addressing Data Scarcity and Label Skew in Federated Learning Via Privacy-preserving Feature Augmentation, by Tong Xia et al.
Summary of Circuitvae: Efficient and Scalable Latent Circuit Optimization, by Jialin Song et al.
Summary of Between Randomness and Arbitrariness: Some Lessons For Reliable Machine Learning at Scale, by A. Feder Cooper
Summary of Urdu Dependency Parsing and Treebank Development: a Syntactic and Morphological Perspective, by Nudrat Habib
Summary of Decoding the Diversity: a Review Of the Indic Ai Research Landscape, by Sankalp Kj et al.
Summary of Label Noise Robustness For Domain-agnostic Fair Corrections Via Nearest Neighbors Label Spreading, by Nathan Stromberg and Rohan Ayyagari and Sanmi Koyejo and Richard Nock and Lalitha Sankar
Summary of Vertical Lora: Dense Expectation-maximization Interpretation Of Transformers, by Zhuolin Fu
Summary of Active Inference Meeting Energy-efficient Control Of Parallel and Identical Machines, by Yavar Taheri Yeganeh et al.
Summary of Is Value Learning Really the Main Bottleneck in Offline Rl?, by Seohong Park et al.
Summary of Learning the Influence Graph Of a High-dimensional Markov Process with Memory, by Smita Bagewadi and Avhishek Chatterjee
Summary of Separations in the Representational Capabilities Of Transformers and Recurrent Architectures, by Satwik Bhattamishra et al.
Summary of Enhancing Domain Adaptation Through Prompt Gradient Alignment, by Hoang Phan et al.
Summary of Advancing Graph Generation Through Beta Diffusion, by Xinyang Liu et al.
Summary of Understanding Hallucinations in Diffusion Models Through Mode Interpolation, by Sumukh K Aithal et al.
Summary of Elicitationgpt: Text Elicitation Mechanisms Via Language Models, by Yifan Wu et al.
Summary of Data-dependent and Oracle Bounds on Forgetting in Continual Learning, by Lior Friedman et al.
Summary of Towards An Improved Understanding and Utilization Of Maximum Manifold Capacity Representations, by Rylan Schaeffer et al.
Summary of Lrm-zero: Training Large Reconstruction Models with Synthesized Data, by Desai Xie et al.
Summary of Reflecting on the State Of Rehearsal-free Continual Learning with Pretrained Models, by Lukas Thede et al.
Summary of Exploring the Spectrum Of Visio-linguistic Compositionality and Recognition, by Youngtaek Oh et al.
Summary of Llavidal: a Large Language Vision Model For Daily Activities Of Living, by Dominick Reilly et al.
Summary of A More Practical Approach to Machine Unlearning, by David Zagardo
Summary of Improving Autoregressive Training with Dynamic Oracles, by Jianing Yang et al.
Summary of Yo’llava: Your Personalized Language and Vision Assistant, by Thao Nguyen et al.
Summary of Instruct 4d-to-4d: Editing 4d Scenes As Pseudo-3d Scenes Using 2d Diffusion, by Linzhan Mou et al.
Summary of Consistdreamer: 3d-consistent 2d Diffusion For High-fidelity Scene Editing, by Jun-kun Chen et al.
Summary of Potion: Towards Poison Unlearning, by Stefan Schoepf et al.
Summary of Towards Effective Evaluations and Comparisons For Llm Unlearning Methods, by Qizhou Wang et al.
Summary of Detection-rate-emphasized Multi-objective Evolutionary Feature Selection For Network Intrusion Detection, by Zi-hang Cheng et al.
Summary of Ridge Interpolators in Correlated Factor Regression Models — Exact Risk Analysis, by Mihailo Stojnic
Summary of Guardagent: Safeguard Llm Agents by a Guard Agent Via Knowledge-enabled Reasoning, By Zhen Xiang et al.
Summary of Benign Overfitting in Fixed Dimension Via Physics-informed Learning with Smooth Inductive Bias, by Honam Wong et al.
Summary of Adaptive Slot Attention: Object Discovery with Dynamic Slot Number, by Ke Fan et al.
Summary of Precise Analysis Of Ridge Interpolators Under Heavy Correlations — a Random Duality Theory View, by Mihailo Stojnic
Summary of Investigating Potential Causes Of Sepsis with Bayesian Network Structure Learning, by Bruno Petrungaro et al.
Summary of Mirrorcheck: Efficient Adversarial Defense For Vision-language Models, by Samar Fares et al.
Summary of Deep Sketched Output Kernel Regression For Structured Prediction, by Tamim El Ahmad et al.
Summary of Assessing Model Generalization in Vicinity, by Yuchi Liu et al.
Summary of Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks, by Spencer Young et al.
Summary of Large Language Model As a Teacher For Zero-shot Tagging at Extreme Scales, by Jinbin Zhang et al.
Summary of Understanding Jailbreak Success: a Study Of Latent Space Dynamics in Large Language Models, by Sarah Ball et al.
Summary of A Flexible, Equivariant Framework For Subgraph Gnns Via Graph Products and Graph Coarsening, by Guy Bar-shalom et al.