Paper List

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Summary of Optimistic Information Directed Sampling, by Gergely Neu et al.
Summary of G-repsnet: a Fast and General Construction Of Equivariant Networks For Arbitrary Matrix Groups, by Sourya Basu et al.
Summary of Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?, by Nader Asadi et al.
Summary of Calibration Of Deep Learning Classification Models in Fnirs, by Zhihao Cao et al.
Summary of Smoothed Graph Contrastive Learning Via Seamless Proximity Integration, by Maysam Behmanesh et al.
Summary of Classification Under Strategic Self-selection, by Guy Horowitz et al.
Summary of Optimized Deployment Of Deep Neural Networks For Visual Pose Estimation on Nano-drones, by Matteo Risso et al.
Summary of When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination, by Martin Benfeghoul et al.
Summary of Spatiotemporal Observer Design For Predictive Learning Of High-dimensional Data, by Tongyi Liang and Han-xiong Li
Summary of Generative Modelling with Tensor Train Approximations Of Hamilton–jacobi–bellman Equations, by David Sommer et al.
Summary of Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models, By Shunyu Liu et al.
Summary of Efficientstate Space Model Viafast Tensor Convolutionand Block Diagonalization, by Tongyi Liang and Han-xiong Li
Summary of Semi-supervised Counting Via Pixel-by-pixel Density Distribution Modelling, by Hui Lin and Zhiheng Ma and Rongrong Ji and Yaowei Wang and Zhou Su and Xiaopeng Hong and Deyu Meng
Summary of Seeing Is Believing: Mitigating Hallucination in Large Vision-language Models Via Clip-guided Decoding, by Ailin Deng et al.
Summary of Causal Graph Discovery with Retrieval-augmented Generation Based Large Language Models, by Yuzhe Zhang et al.
Summary of Representing Online Handwriting For Recognition in Large Vision-language Models, by Anastasiia Fadeeva et al.
Summary of Counterfactual Generation with Identifiability Guarantees, by Hanqi Yan et al.
Summary of Arabiangpt: Native Arabic Gpt-based Large Language Model, by Anis Koubaa et al.
Summary of On Minimal Depth in Neural Networks, by Juan L. Valerdi
Summary of Gptvq: the Blessing Of Dimensionality For Llm Quantization, by Mart Van Baalen et al.
Summary of Opensun3d: 1st Workshop Challenge on Open-vocabulary 3d Scene Understanding, by Francis Engelmann et al.
Summary of Understanding Oversmoothing in Diffusion-based Gnns From the Perspective Of Operator Semigroup Theory, by Weichen Zhao et al.
Summary of Towards Principled Task Grouping For Multi-task Learning, by Chenguang Wang et al.
Summary of The Surprising Effectiveness Of Skip-tuning in Diffusion Sampling, by Jiajun Ma et al.
Summary of Towards Efficient and Optimal Covariance-adaptive Algorithms For Combinatorial Semi-bandits, by Julien Zhou (thoth et al.
Summary of Second-order Fine-tuning Without Pain For Llms:a Hessian Informed Zeroth-order Optimizer, by Yanjun Zhao et al.
Summary of Attention-guided Masked Autoencoders For Learning Image Representations, by Leon Sick et al.
Summary of Unified View Of Grokking, Double Descent and Emergent Abilities: a Perspective From Circuits Competition, by Yufei Huang et al.
Summary of Break the Breakout: Reinventing Lm Defense Against Jailbreak Attacks with Self-refinement, by Heegyu Kim et al.
Summary of Advancing Parameter Efficiency in Fine-tuning Via Representation Editing, by Muling Wu et al.
Summary of Graphedit: Large Language Models For Graph Structure Learning, by Zirui Guo et al.
Summary of Parameter-free Algorithms For Performative Regret Minimization Under Decision-dependent Distributions, by Sungwoo Park et al.
Summary of Biomedical Entity Linking As Multiple Choice Question Answering, by Zhenxi Lin et al.
Summary of Fine-tuning Of Continuous-time Diffusion Models As Entropy-regularized Control, by Masatoshi Uehara et al.
Summary of Bidirectional Uncertainty-based Active Learning For Open Set Annotation, by Chen-chen Zong et al.
Summary of Statistical Agnostic Regression: a Machine Learning Method to Validate Regression Models, by Juan M Gorriz et al.
Summary of Chunkattention: Efficient Self-attention with Prefix-aware Kv Cache and Two-phase Partition, by Lu Ye et al.
Summary of Fixed Random Classifier Rearrangement For Continual Learning, by Shengyang Huang and Jianwen Mo
Summary of Which Model to Transfer? a Survey on Transferability Estimation, by Yuhe Ding et al.
Summary of Unsupervised Domain Adaptation For Brain Vessel Segmentation Through Transwarp Contrastive Learning, by Fengming Lin et al.
Summary of Gs-ema: Integrating Gradient Surgery Exponential Moving Average with Boundary-aware Contrastive Learning For Enhanced Domain Generalization in Aneurysm Segmentation, by Fengming Lin et al.
Summary of A Bargaining-based Approach For Feature Trading in Vertical Federated Learning, by Yue Cui et al.
Summary of Optimal Transport For Structure Learning Under Missing Data, by Vy Vo et al.
Summary of Learning Solution Operators Of Pdes Defined on Varying Domains Via Mionet, by Shanshan Xiao et al.
Summary of Trajectory-wise Iterative Reinforcement Learning Framework For Auto-bidding, by Haoming Li et al.
Summary of Sampling-based Distributed Training with Message Passing Neural Network, by Priyesh Kakka et al.
Summary of Remaining-data-free Machine Unlearning by Suppressing Sample Contribution, By Xinwen Cheng and Zhehao Huang and Wenxin Zhou and Zhengbao He and Ruikai Yang and Yingwen Wu and Xiaolin Huang
Summary of Mspipe: Efficient Temporal Gnn Training Via Staleness-aware Pipeline, by Guangming Sheng et al.
Summary of Physics-constrained Polynomial Chaos Expansion For Scientific Machine Learning and Uncertainty Quantification, by Himanshu Sharma et al.
Summary of Fine-tuning Clip Text Encoders with Two-step Paraphrasing, by Hyunjae Kim et al.
Summary of Accelerating Convergence Of Stein Variational Gradient Descent Via Deep Unfolding, by Yuya Kawamura and Satoshi Takabe
Summary of Multi-armed Bandits with Abstention, by Junwen Yang et al.
Summary of Improving Sentence Embeddings with Automatic Generation Of Training Data Using Few-shot Examples, by Soma Sato et al.
Summary of Deep Coupling Network For Multivariate Time Series Forecasting, by Kun Yi et al.
Summary of Puad: Frustratingly Simple Method For Robust Anomaly Detection, by Shota Sugawara et al.
Summary of The Cost Of Parallelizing Boosting, by Xin Lyu et al.
Summary of Convergence Analysis Of Blurring Mean Shift, by Ryoya Yamasaki et al.
Summary of Self-adaptive Reconstruction with Contrastive Learning For Unsupervised Sentence Embeddings, by Junlong Liu et al.
Summary of On the Duality Between Sharpness-aware Minimization and Adversarial Training, by Yihao Zhang et al.
Summary of Machine Unlearning Of Pre-trained Large Language Models, by Jin Yao et al.
Summary of Spatially-aware Transformer For Embodied Agents, by Junmo Cho et al.
Summary of Entity-level Factual Adaptiveness Of Fine-tuning Based Abstractive Summarization Models, by Jongyoon Song et al.
Summary of Has the Deep Neural Network Learned the Stochastic Process? An Evaluation Viewpoint, by Harshit Kumar et al.
Summary of Quantum Theory and Application Of Contextual Optimal Transport, by Nicola Mariella et al.
Summary of Tinybenchmarks: Evaluating Llms with Fewer Examples, by Felipe Maia Polo et al.
Summary of How Important Is Tokenization in French Medical Masked Language Models?, by Yanis Labrak et al.
Summary of Comparison Of Machine Learning Classification Algorithms and Application to the Framingham Heart Study, by Nabil Kahouadji
Summary of Towards Few-shot Adaptation Of Foundation Models Via Multitask Finetuning, by Zhuoyan Xu et al.
Summary of Divide-or-conquer? Which Part Should You Distill Your Llm?, by Zhuofeng Wu et al.
Summary of Unintended Impacts Of Llm Alignment on Global Representation, by Michael J. Ryan et al.
Summary of Consistency-guided Temperature Scaling Using Style and Content Information For Out-of-domain Calibration, by Wonjeong Choi et al.
Summary of Fiducial Focus Augmentation For Facial Landmark Detection, by Purbayan Kar et al.
Summary of Towards Probabilistically-sound Beam Search with Masked Language Models, by Creston Brooks et al.
Summary of Nonlinear Bayesian Optimal Experimental Design Using Logarithmic Sobolev Inequalities, by Fengyi Li et al.
Summary of Kieval: a Knowledge-grounded Interactive Evaluation Framework For Large Language Models, by Zhuohao Yu et al.
Summary of Interpreting Context Look-ups in Transformers: Investigating Attention-mlp Interactions, by Clement Neo et al.
Summary of Fine-tuning Large Language Models For Domain-specific Machine Translation, by Jiawei Zheng et al.
Summary of Don’t Just Say “i Don’t Know”! Self-aligning Large Language Models For Responding to Unknown Questions with Explanations, by Yang Deng et al.
Summary of Enhancing One-shot Federated Learning Through Data and Ensemble Co-boosting, by Rong Dai et al.
Summary of Cost-adaptive Recourse Recommendation by Adaptive Preference Elicitation, By Duy Nguyen et al.
Summary of Pemt: Multi-task Correlation Guided Mixture-of-experts Enables Parameter-efficient Transfer Learning, by Zhisheng Lin et al.
Summary of Attributionbench: How Hard Is Automatic Attribution Evaluation?, by Yifei Li et al.
Summary of Multimodal Transformer with a Low-computational-cost Guarantee, by Sungjin Park and Edward Choi
Summary of Chain-of-thought Unfaithfulness As Disguised Accuracy, by Oliver Bentham et al.
Summary of Stop Reasoning! When Multimodal Llm with Chain-of-thought Reasoning Meets Adversarial Image, by Zefeng Wang et al.
Summary of Mobilellm: Optimizing Sub-billion Parameter Language Models For On-device Use Cases, by Zechun Liu et al.
Summary of Tokenization Counts: the Impact Of Tokenization on Arithmetic in Frontier Llms, by Aaditya K. Singh et al.
Summary of Practical Insights Into Knowledge Distillation For Pre-trained Models, by Norah Alballa and Marco Canini
Summary of Federated Fairness Without Access to Sensitive Groups, by Afroditi Papadaki et al.
Summary of Boosting Gets Full Attention For Relational Learning, by Mathieu Guillame-bert and Richard Nock
Summary of Sok: Analyzing Adversarial Examples: a Framework to Study Adversary Knowledge, by Lucas Fenaux and Florian Kerschbaum
Summary of Re-examine Distantly Supervised Ner: a New Benchmark and a Simple Approach, by Yuepei Li et al.
Summary of Enhancing Power Quality Event Classification with Ai Transformer Models, by Ahmad Mohammad Saber et al.
Summary of Smoothness Adaptive Hypothesis Transfer Learning, by Haotian Lin et al.
Summary of In-context Learning Of a Linear Transformer Block: Benefits Of the Mlp Component and One-step Gd Initialization, by Ruiqi Zhang et al.
Summary of The Common Stability Mechanism Behind Most Self-supervised Learning Approaches, by Abhishek Jha et al.
Summary of Genception: Evaluate Vision Llms with Unlabeled Unimodal Data, by Lele Cao et al.
Summary of Unsupervised Domain Adaptation Within Deep Foundation Latent Spaces, by Dmitry Kangin et al.
Summary of Privacy-enhancing Collaborative Information Sharing Through Federated Learning — a Case Of the Insurance Industry, by Panyi Dong et al.
Summary of Optimizing Language Models For Human Preferences Is a Causal Inference Problem, by Victoria Lin et al.