Paper List

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Summary of Towards Standardizing Ai Bias Exploration, by Emmanouil Krasanakis et al.
Summary of Diver-ct: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints, by Andrew Zhao et al.
Summary of State Space Models Are Provably Comparable to Transformers in Dynamic Token Selection, by Naoki Nishikawa and Taiji Suzuki
Summary of Ciliagraph: Enabling Expression-enhanced Hyper-dimensional Computation in Ultra-lightweight and One-shot Graph Classification on Edge, by Yuxi Han and Jihe Wang and Danghui Wang
Summary of Flow Priors For Linear Inverse Problems Via Iterative Corrupted Trajectory Matching, by Yasi Zhang and Peiyu Yu and Yaxuan Zhu and Yingshan Chang and Feng Gao and Ying Nian Wu and Oscar Leong
Summary of Evaluating Zero-shot Gpt-4v Performance on 3d Visual Question Answering Benchmarks, by Simranjit Singh et al.
Summary of Monde: Mixture Of Near-data Experts For Large-scale Sparse Models, by Taehyun Kim et al.
Summary of Data-driven Machinery Fault Diagnosis: a Comprehensive Review, by Dhiraj Neupane et al.
Summary of Anomaly Detection by Context Contrasting, By Alain Ryser et al.
Summary of Domain-inspired Sharpness-aware Minimization Under Domain Shifts, by Ruipeng Zhang et al.
Summary of Continuous Product Graph Neural Networks, by Aref Einizade et al.
Summary of Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks, by Aref Einizade et al.
Summary of Compressing Large Language Models Using Low Rank and Low Precision Decomposition, by Rajarshi Saha et al.
Summary of Inference-time Alignment Of Diffusion Models with Direct Noise Optimization, by Zhiwei Tang et al.
Summary of Locally Estimated Global Perturbations Are Better Than Local Perturbations For Federated Sharpness-aware Minimization, by Ziqing Fan et al.
Summary of Few-shot Testing: Estimating Uncertainty Of Memristive Deep Neural Networks Using One Bayesian Test Vector, by Soyed Tuhin Ahmed et al.
Summary of Language Generation with Strictly Proper Scoring Rules, by Chenze Shao et al.
Summary of Unit-aware Genetic Programming For the Development Of Empirical Equations, by Julia Reuter et al.
Summary of Time-series Foundation Models For Forecasting Soil Moisture Levels in Smart Agriculture, by Boje Deforce et al.
Summary of Glance: Global Actions in a Nutshell For Counterfactual Explainability, by Loukas Kavouras et al.
Summary of Deep Positive-unlabeled Anomaly Detection For Contaminated Unlabeled Data, by Hiroshi Takahashi et al.
Summary of Federated Continual Learning Goes Online: Uncertainty-aware Memory Management For Vision Tasks and Beyond, by Giuseppe Serra et al.
Summary of Entprop: High Entropy Propagation For Improving Accuracy and Robustness, by Shohei Enomoto
Summary of A Mallows-like Criterion For Anomaly Detection with Random Forest Implementation, by Gaoxiang Zhao et al.
Summary of Deephgnn: Study Of Graph Neural Network Based Forecasting Methods For Hierarchically Related Multivariate Time Series, by Abishek Sriramulu et al.
Summary of Spectral-risk Safe Reinforcement Learning with Convergence Guarantees, by Dohyeong Kim et al.
Summary of Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing, by Xianke Qiang et al.
Summary of To Fp8 and Back Again: Quantifying the Effects Of Reducing Precision on Llm Training Stability, by Joonhyung Lee et al.
Summary of Conformal Depression Prediction, by Yonghong Li and Xiuzhuang Zhou
Summary of Can We Enhance the Quality Of Mobile Crowdsensing Data Without Ground Truth?, by Jiajie Li et al.
Summary of Preferred-action-optimized Diffusion Policies For Offline Reinforcement Learning, by Tianle Zhang et al.
Summary of A Sars-cov-2 Interaction Dataset and Vhh Sequence Corpus For Antibody Language Models, by Hirofumi Tsuruta et al.
Summary of Confronting the Reproducibility Crisis: a Case Study Of Challenges in Cybersecurity Ai, by Richard H. Moulton et al.
Summary of Provable Contrastive Continual Learning, by Yichen Wen et al.
Summary of Learning to Continually Learn with the Bayesian Principle, by Soochan Lee et al.
Summary of Large Brain Model For Learning Generic Representations with Tremendous Eeg Data in Bci, by Wei-bang Jiang et al.
Summary of Fdqn: a Flexible Deep Q-network Framework For Game Automation, by Prabhath Reddy Gujavarthy
Summary of Quantitative Certification Of Bias in Large Language Models, by Isha Chaudhary et al.
Summary of Mokd: Cross-domain Finetuning For Few-shot Classification Via Maximizing Optimized Kernel Dependence, by Hongduan Tian et al.
Summary of On the Role Of Attention Masks and Layernorm in Transformers, by Xinyi Wu et al.
Summary of Kernel Metric Learning For In-sample Off-policy Evaluation Of Deterministic Rl Policies, by Haanvid Lee et al.
Summary of Federated Q-learning with Reference-advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost, by Zhong Zheng et al.
Summary of Policy Zooming: Adaptive Discretization-based Infinite-horizon Average-reward Reinforcement Learning, by Avik Kar and Rahul Singh
Summary of Semiring Activation in Neural Networks, by Bart M.n. Smets et al.
Summary of A Margin-based Multiclass Generalization Bound Via Geometric Complexity, by Michael Munn et al.
Summary of From Conformal Predictions to Confidence Regions, by Charles Guille-escuret and Eugene Ndiaye
Summary of Dtr-bench: An in Silico Environment and Benchmark Platform For Reinforcement Learning Based Dynamic Treatment Regime, by Zhiyao Luo et al.
Summary of Multi-armed Bandits with Network Interference, by Abhineet Agarwal et al.
Summary of Causal Contextual Bandits with Adaptive Context, by Rahul Madhavan et al.
Summary of Puregen: Universal Data Purification For Train-time Poison Defense Via Generative Model Dynamics, by Sunay Bhat et al.
Summary of A Theoretical Understanding Of Self-correction Through In-context Alignment, by Yifei Wang et al.
Summary of Hardware-aware Parallel Prompt Decoding For Memory-efficient Acceleration Of Llm Inference, by Hao Mark Chen et al.
Summary of When and How Does In-distribution Label Help Out-of-distribution Detection?, by Xuefeng Du et al.
Summary of Lisa: Lazy Safety Alignment For Large Language Models Against Harmful Fine-tuning Attack, by Tiansheng Huang et al.
Summary of Cavachon: a Hierarchical Variational Autoencoder to Integrate Multi-modal Single-cell Data, by Ping-han Hsieh et al.
Summary of Understanding Intrinsic Socioeconomic Biases in Large Language Models, by Mina Arzaghi et al.
Summary of Zipper: a Multi-tower Decoder Architecture For Fusing Modalities, by Vicky Zayats et al.
Summary of Fast Explanations Via Policy Gradient-optimized Explainer, by Deng Pan et al.
Summary of Differentially Private Synthetic Data Generation For Relational Databases, by Kaveh Alimohammadi et al.
Summary of Watermarking Counterfactual Explanations, by Hangzhi Guo et al.
Summary of Deep Bayesian Filter For Bayes-faithful Data Assimilation, by Yuta Tarumi et al.
Summary of Can Gpt Redefine Medical Understanding? Evaluating Gpt on Biomedical Machine Reading Comprehension, by Shubham Vatsal et al.
Summary of Rejection Via Learning Density Ratios, by Alexander Soen et al.
Summary of Efficient Preference-based Reinforcement Learning Via Aligned Experience Estimation, by Fengshuo Bai et al.
Summary of On the Origin Of Llamas: Model Tree Heritage Recovery, by Eliahu Horwitz et al.
Summary of Asymmetrical Estimator For Training Encapsulated Deep Photonic Neural Networks, by Yizhi Wang et al.
Summary of The Unified Balance Theory Of Second-moment Exponential Scaling Optimizers in Visual Tasks, by Gongyue Zhang and Honghai Liu
Summary of Large Margin Discriminative Loss For Classification, by Hai-vy Nguyen et al.
Summary of Injecting Hierarchical Biological Priors Into Graph Neural Networks For Flow Cytometry Prediction, by Fatemeh Nassajian Mojarrad et al.
Summary of Understanding Transformer Reasoning Capabilities Via Graph Algorithms, by Clayton Sanford et al.
Summary of Atlas3d: Physically Constrained Self-supporting Text-to-3d For Simulation and Fabrication, by Yunuo Chen et al.
Summary of Offline-boosted Actor-critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-policy Rl, by Yu Luo et al.
Summary of Modeling Long Sequences in Bladder Cancer Recurrence: a Comparative Evaluation Of Lstm,transformer,and Mamba, by Runquan Zhang et al.
Summary of Data-driven Simulator For Mechanical Circulatory Support with Domain Adversarial Neural Process, by Sophia Sun et al.
Summary of Learning Diverse Attacks on Large Language Models For Robust Red-teaming and Safety Tuning, by Seanie Lee et al.
Summary of Learning From Uncertain Data: From Possible Worlds to Possible Models, by Jiongli Zhu et al.
Summary of Sgd Method For Entropy Error Function with Smoothing L0 Regularization For Neural Networks, by Trong-tuan Nguyen et al.
Summary of Scalable Surrogate Verification Of Image-based Neural Network Control Systems Using Composition and Unrolling, by Feiyang Cai et al.
Summary of Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination, by Zhiyao Luo et al.
Summary of Potential Field Based Deep Metric Learning, by Shubhang Bhatnagar et al.
Summary of Counterfactual Explanations For Multivariate Time-series Without Training Datasets, by Xiangyu Sun et al.
Summary of It’s Not a Modality Gap: Characterizing and Addressing the Contrastive Gap, by Abrar Fahim et al.
Summary of Low-rank Finetuning For Llms: a Fairness Perspective, by Saswat Das et al.
Summary of Artificial Intelligence in Industry 4.0: a Review Of Integration Challenges For Industrial Systems, by Alexander Windmann and Philipp Wittenberg and Marvin Schieseck and Oliver Niggemann
Summary of Dataset Growth, by Ziheng Qin et al.
Summary of Evaluating Bayesian Deep Learning For Radio Galaxy Classification, by Devina Mohan and Anna M. M. Scaife
Summary of Simulating Infinite-dimensional Nonlinear Diffusion Bridges, by Gefan Yang et al.
Summary of Mmctagent: Multi-modal Critical Thinking Agent Framework For Complex Visual Reasoning, by Somnath Kumar et al.
Summary of A Hessian-aware Stochastic Differential Equation For Modelling Sgd, by Xiang Li et al.
Summary of Bridging the Gap: Dynamic Learning Strategies For Improving Multilingual Performance in Llms, by Somnath Kumar et al.
Summary of Promptwizard: Task-aware Prompt Optimization Framework, by Eshaan Agarwal et al.
Summary of A Canonicalization Perspective on Invariant and Equivariant Learning, by George Ma et al.
Summary of Empowering Source-free Domain Adaptation Via Mllm-guided Reliability-based Curriculum Learning, by Dongjie Chen et al.
Summary of A Note on the Prediction-powered Bootstrap, by Tijana Zrnic
Summary of Owlore: Outlier-weighed Layerwise Sampled Low-rank Projection For Memory-efficient Llm Fine-tuning, by Pengxiang Li et al.
Summary of Brain Tumor Segmentation (brats) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation, by Dominic Labella et al.
Summary of Mc-gta: Metric-constrained Model-based Clustering Using Goodness-of-fit Tests with Autocorrelations, by Zhangyu Wang et al.
Summary of Superposed Decoding: Multiple Generations From a Single Autoregressive Inference Pass, by Ethan Shen et al.
Summary of Explicit Formulae to Interchangeably Use Hyperplanes and Hyperballs Using Inversive Geometry, by Erik Thordsen et al.
Summary of Don’t Forget to Connect! Improving Rag with Graph-based Reranking, by Jialin Dong et al.