Paper List

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Summary of Logarithmic Smoothing For Pessimistic Off-policy Evaluation, Selection and Learning, by Otmane Sakhi and Imad Aouali and Pierre Alquier and Nicolas Chopin
Summary of Explaining Graph Neural Networks Via Structure-aware Interaction Index, by Ngoc Bui et al.
Summary of Retrieval-augmented Mining Of Temporal Logic Specifications From Data, by Gaia Saveri et al.
Summary of Minicache: Kv Cache Compression in Depth Dimension For Large Language Models, by Akide Liu et al.
Summary of Minimum Number Of Neurons in Fully Connected Layers Of a Given Neural Network (the First Approximation), by Oleg I.berngardt
Summary of A Neighbor-searching Discrepancy-based Drift Detection Scheme For Learning Evolving Data, by Feng Gu et al.
Summary of Self-taught Recognizer: Toward Unsupervised Adaptation For Speech Foundation Models, by Yuchen Hu et al.
Summary of Deterministic Policies For Constrained Reinforcement Learning in Polynomial Time, by Jeremy Mcmahan
Summary of Fairness Hub Technical Briefs: Definition and Detection Of Distribution Shift, by Nicolas Acevedo et al.
Summary of A Structure-aware Framework For Learning Device Placements on Computation Graphs, by Shukai Duan et al.
Summary of Glad: Synergizing Molecular Graphs and Language Descriptors For Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices, by Thao Nguyen et al.
Summary of Agent Planning with World Knowledge Model, by Shuofei Qiao et al.
Summary of A Behavior-aware Approach For Deep Reinforcement Learning in Non-stationary Environments Without Known Change Points, by Zihe Liu et al.
Summary of Rate-adaptive Quantization: a Multi-rate Codebook Adaptation For Vector Quantization-based Generative Models, by Jiwan Seo et al.
Summary of Understanding the Training and Generalization Of Pretrained Transformer For Sequential Decision Making, by Hanzhao Wang et al.
Summary of Variational Delayed Policy Optimization, by Qingyuan Wu et al.
Summary of Language Processing in Humans and Computers, by Dusko Pavlovic
Summary of Flooddamagecast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation, by Chia-fu Liu et al.
Summary of Harmony: a Joint Self-supervised and Weakly-supervised Framework For Learning General Purpose Visual Representations, by Mohammed Baharoon and Jonathan Klein and Dominik L. Michels
Summary of Diffusion Models For Gaussian Distributions: Exact Solutions and Wasserstein Errors, by Emile Pierret et al.
Summary of Gcondenser: Benchmarking Graph Condensation, by Yilun Liu and Ruihong Qiu and Zi Huang
Summary of Tell Me Why: Training Preferences-based Rl with Human Preferences and Step-level Explanations, by Jakob Karalus
Summary of Time-ffm: Towards Lm-empowered Federated Foundation Model For Time Series Forecasting, by Qingxiang Liu et al.
Summary of Higher-rank Irreducible Cartesian Tensors For Equivariant Message Passing, by Viktor Zaverkin et al.
Summary of Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network, by Dingyi Zhuang et al.
Summary of Exclusively Penalized Q-learning For Offline Reinforcement Learning, by Junghyuk Yeom et al.
Summary of High-dimensional Learning with Noisy Labels, by Aymane El Firdoussi et al.
Summary of Improved Canonicalization For Model Agnostic Equivariance, by Siba Smarak Panigrahi et al.
Summary of Actively Learning Combinatorial Optimization Using a Membership Oracle, by Rosario Messana et al.
Summary of Newton Informed Neural Operator For Computing Multiple Solutions Of Nonlinear Partials Differential Equations, by Wenrui Hao et al.
Summary of Automatic Differentiation Is Essential in Training Neural Networks For Solving Differential Equations, by Chuqi Chen et al.
Summary of Enhancing Image Layout Control with Loss-guided Diffusion Models, by Zakaria Patel et al.
Summary of Online Self-preferring Language Models, by Yuanzhao Zhai et al.
Summary of Improving Generalization Of Deep Neural Networks by Optimum Shifting, By Yuyan Zhou et al.
Summary of Deep Learning For Protein-ligand Docking: Are We There Yet?, by Alex Morehead et al.
Summary of Offline Reinforcement Learning From Datasets with Structured Non-stationarity, by Johannes Ackermann et al.
Summary of Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding Of Vision Transformers, by Bum Jun Kim et al.
Summary of One-shot Active Learning Based on Lewis Weight Sampling For Multiple Deep Models, by Sheng-jun Huang et al.
Summary of Mixture Of Experts Meets Prompt-based Continual Learning, by Minh Le et al.
Summary of The Disappearance Of Timestep Embedding in Modern Time-dependent Neural Networks, by Bum Jun Kim et al.
Summary of Statistical Advantages Of Perturbing Cosine Router in Mixture Of Experts, by Huy Nguyen et al.
Summary of Text-to-model: Text-conditioned Neural Network Diffusion For Train-once-for-all Personalization, by Zexi Li et al.
Summary of Automated Loss Function Search For Class-imbalanced Node Classification, by Xinyu Guo et al.
Summary of Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs, by Xingchen Zou et al.
Summary of Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces, by Qiuyi Chen et al.
Summary of A Practice in Enrollment Prediction with Markov Chain Models, by Yan Zhao and Amy Otteson
Summary of Radarocc: Robust 3d Occupancy Prediction with 4d Imaging Radar, by Fangqiang Ding et al.
Summary of Towards a Unified Framework For Evaluating Explanations, by Juan D. Pinto et al.
Summary of Unlearning Information Bottleneck: Machine Unlearning Of Systematic Patterns and Biases, by Ling Han et al.
Summary of A Study Of Posterior Stability For Time-series Latent Diffusion, by Yangming Li et al.
Summary of Wordgame: Efficient & Effective Llm Jailbreak Via Simultaneous Obfuscation in Query and Response, by Tianrong Zhang et al.
Summary of Adversarial Training Of Two-layer Polynomial and Relu Activation Networks Via Convex Optimization, by Daniel Kuelbs et al.
Summary of Fliphat: Joint Differential Privacy For High Dimensional Sparse Linear Bandits, by Sunrit Chakraborty et al.
Summary of Embedding Trajectory For Out-of-distribution Detection in Mathematical Reasoning, by Yiming Wang et al.
Summary of A Uniform Concentration Inequality For Kernel-based Two-sample Statistics, by Yijin Ni and Xiaoming Huo
Summary of Learning Rigid-body Simulators Over Implicit Shapes For Large-scale Scenes and Vision, by Yulia Rubanova et al.
Summary of Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates, by Udayan Mandal et al.
Summary of Meanings and Feelings Of Large Language Models: Observability Of Latent States in Generative Ai, by Tian Yu Liu et al.
Summary of Probabilistic Inference in the Era Of Tensor Networks and Differential Programming, by Martin Roa-villescas et al.
Summary of Chatscene: Knowledge-enabled Safety-critical Scenario Generation For Autonomous Vehicles, by Jiawei Zhang et al.
Summary of Building a Stable Classifier with the Inflated Argmax, by Jake A. Soloff et al.
Summary of Online Classification with Predictions, by Vinod Raman et al.
Summary of Peac: Unsupervised Pre-training For Cross-embodiment Reinforcement Learning, by Chengyang Ying et al.
Summary of A Finite Time Analysis Of Distributed Q-learning, by Han-dong Lim et al.
Summary of Spectral Adapter: Fine-tuning in Spectral Space, by Fangzhao Zhang et al.
Summary of What Is Your Data Worth to Gpt? Llm-scale Data Valuation with Influence Functions, by Sang Keun Choe et al.
Summary of Attention As An Rnn, by Leo Feng et al.
Summary of Learning to Play Atari Games Using Dueling Q-learning and Hebbian Plasticity, by Md Ashfaq Salehin
Summary of Exploring the Relationship Between Feature Attribution Methods and Model Performance, by Priscylla Silva et al.
Summary of Saddle: Sharpness-aware Decentralized Deep Learning with Heterogeneous Data, by Sakshi Choudhary et al.
Summary of Design Editing For Offline Model-based Optimization, by Ye Yuan et al.
Summary of Unleashing the Power Of Unlabeled Data: a Self-supervised Learning Framework For Cyber Attack Detection in Smart Grids, by Hanyu Zeng et al.
Summary of Infinite-dimensional Feature Interaction, by Chenhui Xu et al.
Summary of Hope For a Robust Parameterization Of Long-memory State Space Models, by Annan Yu et al.
Summary of Improving Fairness and Mitigating Madness in Generative Models, by Paul Mayer et al.
Summary of Mitigating Interference in the Knowledge Continuum Through Attention-guided Incremental Learning, by Prashant Bhat et al.
Summary of Directmultistep: Direct Route Generation For Multi-step Retrosynthesis, by Yu Shee et al.
Summary of Rank Reduction Autoencoders, by Jad Mounayer et al.
Summary of Analysis Of Corrected Graph Convolutions, by Robert Wang et al.
Summary of Leveraging World Events to Predict E-commerce Consumer Demand Under Anomaly, by Dan Kalifa et al.
Summary of Autolcz: Towards Automatized Local Climate Zone Mapping From Rule-based Remote Sensing, by Chenying Liu and Hunsoo Song and Anamika Shreevastava and Conrad M Albrecht
Summary of Sigmoid Gating Is More Sample Efficient Than Softmax Gating in Mixture Of Experts, by Huy Nguyen et al.
Summary of Cvit: Continuous Vision Transformer For Operator Learning, by Sifan Wang et al.
Summary of Animal Behavior Analysis Methods Using Deep Learning: a Survey, by Edoardo Fazzari et al.
Summary of Thermodynamic Natural Gradient Descent, by Kaelan Donatella et al.
Summary of Regression Trees Know Calculus, by Nathan Wycoff
Summary of Maximum Manifold Capacity Representations in State Representation Learning, by Li Meng et al.
Summary of Transformers Can Learn Temporal Difference Methods For In-context Reinforcement Learning, by Jiuqi Wang et al.
Summary of Dynamic Model Predictive Shielding For Provably Safe Reinforcement Learning, by Arko Banerjee et al.
Summary of Scaling-laws For Large Time-series Models, by Thomas D. P. Edwards et al.
Summary of Koopcon: a New Approach Towards Smarter and Less Complex Learning, by Vahid Jebraeeli et al.
Summary of Automatically Identifying Local and Global Circuits with Linear Computation Graphs, by Xuyang Ge et al.
Summary of Marrying Causal Representation Learning with Dynamical Systems For Science, by Dingling Yao et al.
Summary of Symmetric Linear Bandits with Hidden Symmetry, by Nam Phuong Tran et al.
Summary of Rehearsal-free Federated Domain-incremental Learning, by Rui Sun et al.
Summary of Login: a Large Language Model Consulted Graph Neural Network Training Framework, by Yiran Qiao et al.
Summary of Dct-based Decorrelated Attention For Vision Transformers, by Hongyi Pan et al.
Summary of Learning Latent Space Hierarchical Ebm Diffusion Models, by Jiali Cui et al.
Summary of Hetegraph-mamba: Heterogeneous Graph Learning Via Selective State Space Model, by Zhenyu Pan et al.
Summary of Towards Certification Of Uncertainty Calibration Under Adversarial Attacks, by Cornelius Emde et al.