Paper List

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Summary of Chinese Mentalbert: Domain-adaptive Pre-training on Social Media For Chinese Mental Health Text Analysis, by Wei Zhai et al.
Summary of Improved Regret For Bandit Convex Optimization with Delayed Feedback, by Yuanyu Wan and Chang Yao and Mingli Song and Lijun Zhang
Summary of Attacking Large Language Models with Projected Gradient Descent, by Simon Geisler et al.
Summary of The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes, By Myeongseob Ko et al.
Summary of Learning-based Bone Quality Classification Method For Spinal Metastasis, by Shiqi Peng et al.
Summary of Simmlp: Training Mlps on Graphs Without Supervision, by Zehong Wang et al.
Summary of Interpretable Measures Of Conceptual Similarity by Complexity-constrained Descriptive Auto-encoding, By Alessandro Achille et al.
Summary of Imuoptimize: a Data-driven Approach to Optimal Imu Placement For Human Pose Estimation with Transformer Architecture, by Varun Ramani and Hossein Khayami and Yang Bai and Nakul Garg and Nirupam Roy
Summary of Maxmin-rlhf: Alignment with Diverse Human Preferences, by Souradip Chakraborty et al.
Summary of Evaluating Dtw Measures Via a Synthesis Framework For Time-series Data, by Kishansingh Rajput et al.
Summary of Second Order Methods For Bandit Optimization and Control, by Arun Suggala et al.
Summary of Measuring Sharpness in Grokking, by Jack Miller et al.
Summary of Mean-field Analysis For Learning Subspace-sparse Polynomials with Gaussian Input, by Ziang Chen et al.
Summary of Using Counterfactual Tasks to Evaluate the Generality Of Analogical Reasoning in Large Language Models, by Martha Lewis and Melanie Mitchell
Summary of Mustard: Mastering Uniform Synthesis Of Theorem and Proof Data, by Yinya Huang et al.
Summary of Duel: Duplicate Elimination on Active Memory For Self-supervised Class-imbalanced Learning, by Won-seok Choi et al.
Summary of Research and Application Of Transformer Based Anomaly Detection Model: a Literature Review, by Mingrui Ma et al.
Summary of Predicting User Experience on Laptops From Hardware Specifications, by Saswat Padhi et al.
Summary of Towards Next-level Post-training Quantization Of Hyper-scale Transformers, by Junhan Kim et al.
Summary of Mel: Efficient Multi-task Evolutionary Learning For High-dimensional Feature Selection, by Xubin Wang et al.
Summary of Towards Robust Model-based Reinforcement Learning Against Adversarial Corruption, by Chenlu Ye et al.
Summary of Exploring Federated Deep Learning For Standardising Naming Conventions in Radiotherapy Data, by Ali Haidar et al.
Summary of Nearly Minimax Optimal Regret For Learning Linear Mixture Stochastic Shortest Path, by Qiwei Di et al.
Summary of Automated Detection Of Motion Artifacts in Brain Mr Images Using Deep Learning and Explainable Artificial Intelligence, by Marina Manso Jimeno et al.
Summary of Ads: Approximate Densest Subgraph For Novel Image Discovery, by Shanfeng Hu
Summary of Bayesian Strategic Classification, by Lee Cohen et al.
Summary of Flash: Federated Learning Across Simultaneous Heterogeneities, by Xiangyu Chang et al.
Summary of Preconditioners For the Stochastic Training Of Implicit Neural Representations, by Shin-fang Chng et al.
Summary of Rethinking Machine Unlearning For Large Language Models, by Sijia Liu et al.
Summary of Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model, by Aditya Malusare and Vaneet Aggarwal
Summary of Projection-free Online Convex Optimization with Time-varying Constraints, by Dan Garber et al.
Summary of Corridor Geometry in Gradient-based Optimization, by Benoit Dherin and Mihaela Rosca
Summary of Depth Separation in Norm-bounded Infinite-width Neural Networks, by Suzanna Parkinson et al.
Summary of Random Representations Outperform Online Continually Learned Representations, by Ameya Prabhu et al.
Summary of Disambiguated Node Classification with Graph Neural Networks, by Tianxiang Zhao et al.
Summary of Feature Attribution with Necessity and Sufficiency Via Dual-stage Perturbation Test For Causal Explanation, by Xuexin Chen et al.
Summary of Space-time Diffusion Bridge, by Hamidreza Behjoo et al.
Summary of Hybrid Inverse Reinforcement Learning, by Juntao Ren et al.
Summary of Approximation Of Relation Functions and Attention Mechanisms, by Awni Altabaa et al.
Summary of Position: Topological Deep Learning Is the New Frontier For Relational Learning, by Theodore Papamarkou et al.
Summary of Weakly Supervised Segmentation Of Vertebral Bodies with Iterative Slice-propagation, by Shiqi Peng et al.
Summary of Subgraph Pooling: Tackling Negative Transfer on Graphs, by Zehong Wang et al.
Summary of Moving Object Proposals with Deep Learned Optical Flow For Video Object Segmentation, by Ge Shi and Zhili Yang
Summary of Mixtures Of Experts Unlock Parameter Scaling For Deep Rl, by Johan Obando-ceron et al.
Summary of A Cost-sensitive Transformer Model For Prognostics Under Highly Imbalanced Industrial Data, by Ali Beikmohammadi et al.
Summary of Knowledge Editing on Black-box Large Language Models, by Xiaoshuai Song et al.
Summary of A Unified Framework For Analyzing Meta-algorithms in Online Convex Optimization, by Mohammad Pedramfar et al.
Summary of Learned Image Compression with Text Quality Enhancement, by Chih-yu Lai et al.
Summary of Peeking Behind the Curtains Of Residual Learning, by Tunhou Zhang et al.
Summary of Inference Of Abstraction For a Unified Account Of Symbolic Reasoning From Data, by Hiroyuki Kido
Summary of Generating Universal Adversarial Perturbations For Quantum Classifiers, by Gautham Anil et al.
Summary of Sagman: Stability Analysis Of Graph Neural Networks on the Manifolds, by Wuxinlin Cheng et al.
Summary of Target Score Matching, by Valentin De Bortoli et al.
Summary of Model Assessment and Selection Under Temporal Distribution Shift, by Elise Han et al.
Summary of Graph Mamba: Towards Learning on Graphs with State Space Models, by Ali Behrouz and Farnoosh Hashemi
Summary of Cold-attack: Jailbreaking Llms with Stealthiness and Controllability, by Xingang Guo et al.
Summary of Mitigating Object Hallucination in Large Vision-language Models Via Classifier-free Guidance, by Linxi Zhao and Yihe Deng and Weitong Zhang and Quanquan Gu
Summary of Im-3d: Iterative Multiview Diffusion and Reconstruction For High-quality 3d Generation, by Luke Melas-kyriazi et al.
Summary of Amend: a Mixture Of Experts Framework For Long-tailed Trajectory Prediction, by Ray Coden Mercurius et al.
Summary of Correction to “wasserstein Distance Estimates For the Distributions Of Numerical Approximations to Ergodic Stochastic Differential Equations”, by Daniel Paulin et al.
Summary of Prdp: Proximal Reward Difference Prediction For Large-scale Reward Finetuning Of Diffusion Models, by Fei Deng et al.
Summary of Becotta: Input-dependent Online Blending Of Experts For Continual Test-time Adaptation, by Daeun Lee et al.
Summary of Experts Don’t Cheat: Learning What You Don’t Know by Predicting Pairs, By Daniel D. Johnson et al.
Summary of Subgraphormer: Unifying Subgraph Gnns and Graph Transformers Via Graph Products, by Guy Bar-shalom et al.
Summary of Parallel-friendly Spatio-temporal Graph Learning For Photovoltaic Degradation Analysis at Scale, by Yangxin Fan et al.
Summary of Intriguing Differences Between Zero-shot and Systematic Evaluations Of Vision-language Transformer Models, by Shaeke Salman et al.
Summary of Revealing Decurve Flows For Generalized Graph Propagation, by Chen Lin et al.
Summary of Deep Reinforcement Learning For Controlled Traversing Of the Attractor Landscape Of Boolean Models in the Context Of Cellular Reprogramming, by Andrzej Mizera et al.
Summary of A Systematic Review Of Data-to-text Nlg, by Chinonso Cynthia Osuji et al.
Summary of Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea, by Hanna Krasowski et al.
Summary of A Pac-bayesian Link Between Generalisation and Flat Minima, by Maxime Haddouche et al.
Summary of Can Llms Learn New Concepts Incrementally Without Forgetting?, by Junhao Zheng et al.
Summary of Approximately Piecewise E(3) Equivariant Point Networks, by Matan Atzmon et al.
Summary of Intelligent Diagnosis Of Alzheimer’s Disease Based on Machine Learning, by Mingyang Li et al.
Summary of Generative Vs Non-generative Models in Engineering Shape Optimization, by Muhammad Usama et al.
Summary of Confronting Reward Overoptimization For Diffusion Models: a Perspective Of Inductive and Primacy Biases, by Ziyi Zhang and Sen Zhang and Yibing Zhan and Yong Luo and Yonggang Wen and Dacheng Tao
Summary of Denoising Diffusion Restoration Tackles Forward and Inverse Problems For the Laplace Operator, by Amartya Mukherjee et al.
Summary of Agent Smith: a Single Image Can Jailbreak One Million Multimodal Llm Agents Exponentially Fast, by Xiangming Gu et al.
Summary of Fedlps: Heterogeneous Federated Learning For Multiple Tasks with Local Parameter Sharing, by Yongzhe Jia et al.
Summary of Test-time Backdoor Attacks on Multimodal Large Language Models, by Dong Lu et al.
Summary of Mixture Of Link Predictors on Graphs, by Li Ma et al.
Summary of Faster Repeated Evasion Attacks in Tree Ensembles, by Lorenzo Cascioli et al.
Summary of Homomorphism Counts For Graph Neural Networks: All About That Basis, by Emily Jin et al.
Summary of Multi-level Gnn Preconditioner For Solving Large Scale Problems, by Matthieu Nastorg (tau et al.
Summary of Towards Faithful and Robust Llm Specialists For Evidence-based Question-answering, by Tobias Schimanski et al.
Summary of Prompted Contextual Vectors For Spear-phishing Detection, by Daniel Nahmias et al.
Summary of Approximating Families Of Sharp Solutions to Fisher’s Equation with Physics-informed Neural Networks, by Franz M. Rohrhofer et al.
Summary of Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring, By Taira Tsuchiya et al.
Summary of Uncertainty Quantification Via Stable Distribution Propagation, by Felix Petersen et al.
Summary of Implicit Bias in Noisy-sgd: with Applications to Differentially Private Training, by Tom Sander et al.
Summary of Learning Better Representations From Less Data For Propositional Satisfiability, by Mohamed Ghanem et al.
Summary of Helping University Students to Choose Elective Courses by Using a Hybrid Multi-criteria Recommendation System with Genetic Optimization, By A. Esteban et al.
Summary of Rbf-pinn: Non-fourier Positional Embedding in Physics-informed Neural Networks, by Chengxi Zeng et al.
Summary of Uncertainty Quantification For Forward and Inverse Problems Of Pdes Via Latent Global Evolution, by Tailin Wu et al.
Summary of Time-series Classification For Dynamic Strategies in Multi-step Forecasting, by Riku Green et al.
Summary of Selective Learning: Towards Robust Calibration with Dynamic Regularization, by Zongbo Han et al.
Summary of Adaptive Hierarchical Certification For Segmentation Using Randomized Smoothing, by Alaa Anani et al.
Summary of Loss-gat: Label Propagation and One-class Semi-supervised Graph Attention Network For Fake News Detection, by Batool Lakzaei and Mostafa Haghir Chehreghani and Alireza Bagheri
Summary of A Novel Approach to Regularising 1nn Classifier For Improved Generalization, by Aditya Challa et al.
Summary of Transition Constrained Bayesian Optimization Via Markov Decision Processes, by Jose Pablo Folch et al.