Paper List

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Summary of Empowering Time Series Analysis with Large Language Models: a Survey, by Yushan Jiang et al.
Summary of Unified Hallucination Detection For Multimodal Large Language Models, by Xiang Chen and Chenxi Wang and Yida Xue and Ningyu Zhang and Xiaoyan Yang and Qiang Li and Yue Shen and Lei Liang and Jinjie Gu and Huajun Chen
Summary of Isotropy, Clusters, and Classifiers, by Timothee Mickus et al.
Summary of Diffusive Gibbs Sampling, by Wenlin Chen et al.
Summary of On the Impact Of Output Perturbation on Fairness in Binary Linear Classification, by Vitalii Emelianov et al.
Summary of Whom to Trust? Elective Learning For Distributed Gaussian Process Regression, by Zewen Yang et al.
Summary of A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches For Few-shot Learning, by Georgios Tsoumplekas et al.
Summary of Taylor Videos For Action Recognition, by Lei Wang and Xiuyuan Yuan and Tom Gedeon and Liang Zheng
Summary of Data-induced Multiscale Losses and Efficient Multirate Gradient Descent Schemes, by Juncai He et al.
Summary of Automatic Combination Of Sample Selection Strategies For Few-shot Learning, by Branislav Pecher et al.
Summary of Interactivevideo: User-centric Controllable Video Generation with Synergistic Multimodal Instructions, by Yiyuan Zhang et al.
Summary of Sidu-txt: An Xai Algorithm For Nlp with a Holistic Assessment Approach, by Mohammad N.s. Jahromi et al.
Summary of Easyinstruct: An Easy-to-use Instruction Processing Framework For Large Language Models, by Yixin Ou et al.
Summary of Pfdm: Parser-free Virtual Try-on Via Diffusion Model, by Yunfang Niu et al.
Summary of Deep Exploration with Pac-bayes, by Bahareh Tasdighi et al.
Summary of Visual Text Meets Low-level Vision: a Comprehensive Survey on Visual Text Processing, by Yan Shu et al.
Summary of Multi-lingual Malaysian Embedding: Leveraging Large Language Models For Semantic Representations, by Husein Zolkepli et al.
Summary of Cross-domain Few-shot Object Detection Via Enhanced Open-set Object Detector, by Yuqian Fu et al.
Summary of Transcending Adversarial Perturbations: Manifold-aided Adversarial Examples with Legitimate Semantics, by Shuai Li et al.
Summary of Intent-based Prompt Calibration: Enhancing Prompt Optimization with Synthetic Boundary Cases, by Elad Levi et al.
Summary of High-dimensional Bayesian Optimization Via Covariance Matrix Adaptation Strategy, by Lam Ngo et al.
Summary of Non-stationary Latent Auto-regressive Bandits, by Anna L. Trella et al.
Summary of Infrared Spectra Prediction For Diazo Groups Utilizing a Machine Learning Approach with Structural Attention Mechanism, by Chengchun Liu and Fanyang Mo
Summary of Automated Cognate Detection As a Supervised Link Prediction Task with Cognate Transformer, by V.s.d.s.mahesh Akavarapu and Arnab Bhattacharya
Summary of Interpretcc: Intrinsic User-centric Interpretability Through Global Mixture Of Experts, by Vinitra Swamy et al.
Summary of Exploring the Synergies Of Hybrid Cnns and Vits Architectures For Computer Vision: a Survey, by Haruna Yunusa et al.
Summary of Dynamic Byzantine-robust Learning: Adapting to Switching Byzantine Workers, by Ron Dorfman et al.
Summary of Kernel Pca For Out-of-distribution Detection, by Kun Fang et al.
Summary of Houghtoradon Transform: New Neural Network Layer For Features Improvement in Projection Space, by Alexandra Zhabitskaya et al.
Summary of On Least Square Estimation in Softmax Gating Mixture Of Experts, by Huy Nguyen and Nhat Ho and Alessandro Rinaldo
Summary of Adatreeformer: Few Shot Domain Adaptation For Tree Counting From a Single High-resolution Image, by Hamed Amini Amirkolaee et al.
Summary of Mixed Noise and Posterior Estimation with Conditional Deepgem, by Paul Hagemann et al.
Summary of Delving Into Multi-modal Multi-task Foundation Models For Road Scene Understanding: From Learning Paradigm Perspectives, by Sheng Luo et al.
Summary of Towards Understanding the Word Sensitivity Of Attention Layers: a Study Via Random Features, by Simone Bombari and Marco Mondelli
Summary of Boosting, Voting Classifiers and Randomized Sample Compression Schemes, by Arthur Da Cunha et al.
Summary of Retrieval-augmented Score Distillation For Text-to-3d Generation, by Junyoung Seo et al.
Summary of Variational Flow Models: Flowing in Your Style, by Kien Do et al.
Summary of Applying Unsupervised Semantic Segmentation to High-resolution Uav Imagery For Enhanced Road Scene Parsing, by Zihan Ma et al.
Summary of A Safety-adapted Loss For Pedestrian Detection in Automated Driving, by Maria Lyssenko et al.
Summary of Decoding-time Realignment Of Language Models, by Tianlin Liu et al.
Summary of Text-guided Image Clustering, by Andreas Stephan et al.
Summary of Careful with That Scalpel: Improving Gradient Surgery with An Ema, by Yu-guan Hsieh et al.
Summary of On the Development Of a Practical Bayesian Optimisation Algorithm For Expensive Experiments and Simulations with Changing Environmental Conditions, by Mike Diessner et al.
Summary of State Estimation Of Urban Air Pollution with Statistical, Physical, and Super-learning Graph Models, by Matthieu Dolbeault et al.
Summary of Joint Attention-guided Feature Fusion Network For Saliency Detection Of Surface Defects, by Xiaoheng Jiang et al.
Summary of Graph-enhanced Large Language Models in Asynchronous Plan Reasoning, by Fangru Lin et al.
Summary of Ks-lottery: Finding Certified Lottery Tickets For Multilingual Language Models, by Fei Yuan et al.
Summary of Bayes-optimal Fair Classification with Linear Disparity Constraints Via Pre-, In-, and Post-processing, by Xianli Zeng et al.
Summary of Revisiting Vae For Unsupervised Time Series Anomaly Detection: a Frequency Perspective, by Zexin Wang et al.
Summary of Evading Data Contamination Detection For Language Models Is (too) Easy, by Jasper Dekoninck et al.
Summary of Synthvision — Harnessing Minimal Input For Maximal Output in Computer Vision Models Using Synthetic Image Data, by Yudara Kularathne et al.
Summary of Powergraph: a Power Grid Benchmark Dataset For Graph Neural Networks, by Anna Varbella et al.
Summary of Shortened Llama: Depth Pruning For Large Language Models with Comparison Of Retraining Methods, by Bo-kyeong Kim et al.
Summary of Enhancing Compositional Generalization Via Compositional Feature Alignment, by Haoxiang Wang et al.
Summary of Deep Autoregressive Density Nets Vs Neural Ensembles For Model-based Offline Reinforcement Learning, by Abdelhakim Benechehab et al.
Summary of Rethinking Explainable Machine Learning As Applied Statistics, by Sebastian Bordt et al.
Summary of Graph Neural Machine: a New Model For Learning with Tabular Data, by Giannis Nikolentzos and Siyun Wang and Johannes Lutzeyer and Michalis Vazirgiannis
Summary of Time-, Memory- and Parameter-efficient Visual Adaptation, by Otniel-bogdan Mercea et al.
Summary of How Do Large Language Models Learn In-context? Query and Key Matrices Of In-context Heads Are Two Towers For Metric Learning, by Zeping Yu et al.
Summary of Black-box Approximation and Optimization with Hierarchical Tucker Decomposition, by Gleb Ryzhakov et al.
Summary of Ds-ms-tcn: Otago Exercises Recognition with a Dual-scale Multi-stage Temporal Convolutional Network, by Meng Shang et al.
Summary of Viewfusion: Learning Composable Diffusion Models For Novel View Synthesis, by Bernard Spiegl et al.
Summary of Instance Segmentation Xxl-ct Challenge Of a Historic Airplane, by Roland Gruber and Johann Christopher Engster and Markus Michen and Nele Blum and Maik Stille and Stefan Gerth and Thomas Wittenberg
Summary of Beyond Expectations: Learning with Stochastic Dominance Made Practical, by Shicong Cen et al.
Summary of Sample Complexity Characterization For Linear Contextual Mdps, by Junze Deng et al.
Summary of Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence, by Jiafei Lyu et al.
Summary of Representation Surgery For Multi-task Model Merging, by Enneng Yang and Li Shen and Zhenyi Wang and Guibing Guo and Xiaojun Chen and Xingwei Wang and Dacheng Tao
Summary of Position: What Can Large Language Models Tell Us About Time Series Analysis, by Ming Jin et al.
Summary of Architectural Strategies For the Optimization Of Physics-informed Neural Networks, by Hemanth Saratchandran et al.
Summary of Discounted Adaptive Online Learning: Towards Better Regularization, by Zhiyu Zhang et al.
Summary of Understanding the Planning Of Llm Agents: a Survey, by Xu Huang and Weiwen Liu and Xiaolong Chen and Xingmei Wang and Hao Wang and Defu Lian and Yasheng Wang and Ruiming Tang and Enhong Chen
Summary of A Generative Approach to Surrogate-based Black-box Attacks, by Raha Moraffah et al.
Summary of Cybersickness Detection Through Head Movement Patterns: a Promising Approach, by Masoud Salehi et al.
Summary of Using Motion Cues to Supervise Single-frame Body Pose and Shape Estimation in Low Data Regimes, by Andrey Davydov et al.
Summary of Toonaging: Face Re-aging Upon Artistic Portrait Style Transfer, by Bumsoo Kim et al.
Summary of Improving Robustness Of Lidar-camera Fusion Model Against Weather Corruption From Fusion Strategy Perspective, by Yihao Huang et al.
Summary of Glocal Hypergradient Estimation with Koopman Operator, by Ryuichiro Hataya and Yoshinobu Kawahara
Summary of Standard Gaussian Process Is All You Need For High-dimensional Bayesian Optimization, by Zhitong Xu et al.
Summary of Kivi: a Tuning-free Asymmetric 2bit Quantization For Kv Cache, by Zirui Liu et al.
Summary of Learning From Teaching Regularization: Generalizable Correlations Should Be Easy to Imitate, by Can Jin et al.
Summary of Contrastive Diffuser: Planning Towards High Return States Via Contrastive Learning, by Yixiang Shan et al.
Summary of Rethinking Optimization and Architecture For Tiny Language Models, by Yehui Tang et al.
Summary of Stable and Robust Deep Learning by Hyperbolic Tangent Exponential Linear Unit (telu), By Alfredo Fernandez and Ankur Mali
Summary of Stability Analysis Of Various Symbolic Rule Extraction Methods From Recurrent Neural Network, by Neisarg Dave et al.
Summary of Prosac: Provably Safe Certification For Machine Learning Models Under Adversarial Attacks, by Chen Feng et al.
Summary of Predicting Machine Translation Performance on Low-resource Languages: the Role Of Domain Similarity, by Eric Khiu et al.
Summary of Key-graph Transformer For Image Restoration, by Bin Ren et al.
Summary of Variational Dag Estimation Via State Augmentation with Stochastic Permutations, by Edwin V. Bonilla et al.
Summary of Vision-language Models Provide Promptable Representations For Reinforcement Learning, by William Chen and Oier Mees and Aviral Kumar and Sergey Levine
Summary of Learning with Mixture Of Prototypes For Out-of-distribution Detection, by Haodong Lu et al.
Summary of Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision, by Zihan Wang et al.
Summary of Image-caption Encoding For Improving Zero-shot Generalization, by Eric Yang Yu et al.
Summary of Counterfactual Fairness Is Not Demographic Parity, and Other Observations, by Ricardo Silva
Summary of Verifiable Evaluations Of Machine Learning Models Using Zksnarks, by Tobin South et al.
Summary of Utility-based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning, by Peter Vamplew et al.
Summary of Poisson Process For Bayesian Optimization, by Xiaoxing Wang et al.
Summary of Equivariant Symmetry Breaking Sets, by Yuqing Xie et al.
Summary of Counterfactual Explanations Of Black-box Machine Learning Models Using Causal Discovery with Applications to Credit Rating, by Daisuke Takahashi et al.
Summary of Large Language Models Are Geographically Biased, by Rohin Manvi et al.
Summary of Statistical Guarantees For Link Prediction Using Graph Neural Networks, by Alan Chung et al.