Paper List

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Summary of Clustering Ensemble Algorithm with High-order Consistency Learning, by Jianwen Gan et al.
Summary of A Systematic Review Of Neurips Dataset Management Practices, by Yiwei Wu et al.
Summary of Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation, by Yunhui Liang et al.
Summary of Linear Chain Transformation: Expanding Optimization Dynamics For Fine-tuning Large Language Models, by Yulong Wang and Chang Zuo and Yin Xuan and Hong Li and Ni Wei
Summary of Preserving Pre-trained Representation Space: on Effectiveness Of Prefix-tuning For Large Multi-modal Models, by Donghoon Kim et al.
Summary of Mimic-iv-ext-pe: Using a Large Language Model to Predict Pulmonary Embolism Phenotype in the Mimic-iv Dataset, by B. D. Lam et al.
Summary of Interpretable Language Modeling Via Induction-head Ngram Models, by Eunji Kim et al.
Summary of Label Noise: Ignorance Is Bliss, by Yilun Zhu et al.
Summary of Rps: a Generic Reservoir Patterns Sampler, by Lamine Diop and Marc Plantevit and Arnaud Soulet
Summary of Prospective Learning: Learning For a Dynamic Future, by Ashwin De Silva et al.
Summary of Lagrangian Neural Networks For Nonholonomic Mechanics, by Viviana Alejandra Diaz et al.
Summary of Beyond Accuracy: Ensuring Correct Predictions with Correct Rationales, by Tang Li et al.
Summary of Derivative-free Optimization Via Finite Difference Approximation: An Experimental Study, by Wang Du-yi and Liang Guo and Liu Guangwu and Zhang Kun
Summary of A Geometric Framework For Understanding Memorization in Generative Models, by Brendan Leigh Ross et al.
Summary of Llm-inference-bench: Inference Benchmarking Of Large Language Models on Ai Accelerators, by Krishna Teja Chitty-venkata et al.
Summary of Learning Local Discrete Features in Explainable-by-design Convolutional Neural Networks, by Pantelis I. Kaplanoglou et al.
Summary of Mutual Information Preserving Neural Network Pruning, by Charles Westphal et al.
Summary of Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models, by Haritz Puerto et al.
Summary of Using Deep Neural Networks to Quantify Parking Dwell Time, by Marcelo Eduardo Marques Ribas (1) et al.
Summary of Residual Deep Gaussian Processes on Manifolds, by Kacper Wyrwal et al.
Summary of Psl: Rethinking and Improving Softmax Loss From Pairwise Perspective For Recommendation, by Weiqin Yang et al.
Summary of Earl-bo: Reinforcement Learning For Multi-step Lookahead, High-dimensional Bayesian Optimization, by Mujin Cheon and Jay H. Lee and Dong-yeun Koh and Calvin Tsay
Summary of Apebench: a Benchmark For Autoregressive Neural Emulators Of Pdes, by Felix Koehler et al.
Summary of Reinforcement Learning Gradients As Vitamin For Online Finetuning Decision Transformers, by Kai Yan et al.
Summary of Aidovecl: Ai-generated Dataset Of Outpainted Vehicles For Eye-level Classification and Localization, by Amir Kazemi et al.
Summary of Q-learning For Quantile Mdps: a Decomposition, Performance, and Convergence Analysis, by Jia Lin Hau et al.
Summary of Projected Random Forests and Conformal Prediction Of Circular Data, by Paulo C. Marques F. et al.
Summary of Dense Associative Memory Through the Lens Of Random Features, by Benjamin Hoover et al.
Summary of Approaches to Human Activity Recognition Via Passive Radar, by Christian Bresciani et al.
Summary of Conformalized Prediction Of Post-fault Voltage Trajectories Using Pre-trained and Finetuned Attention-driven Neural Operators, by Amirhossein Mollaali et al.
Summary of The Importance Of Being Scalable: Improving the Speed and Accuracy Of Neural Network Interatomic Potentials Across Chemical Domains, by Eric Qu et al.
Summary of Ar-pro: Counterfactual Explanations For Anomaly Repair with Formal Properties, by Xiayan Ji et al.
Summary of Group Crosscoders For Mechanistic Analysis Of Symmetry, by Liv Gorton
Summary of Understanding Optimization in Deep Learning with Central Flows, by Jeremy M. Cohen and Alex Damian and Ameet Talwalkar and Zico Kolter and Jason D. Lee
Summary of Selfcodealign: Self-alignment For Code Generation, by Yuxiang Wei et al.
Summary of Tabm: Advancing Tabular Deep Learning with Parameter-efficient Ensembling, by Yury Gorishniy and Akim Kotelnikov and Artem Babenko
Summary of Arq: a Mixed-precision Quantization Framework For Accurate and Certifiably Robust Dnns, by Yuchen Yang et al.
Summary of Caadam: Improving Adam Optimizer Using Connection Aware Methods, by Remi Genet and Hugo Inzirillo
Summary of Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity Of Language Use, by Jiajun Xi et al.
Summary of Bridging Geometric States Via Geometric Diffusion Bridge, by Shengjie Luo et al.
Summary of Robust Gaussian Processes Via Relevance Pursuit, by Sebastian Ament et al.
Summary of Unsupervised Training Of Diffusion Models For Feasible Solution Generation in Neural Combinatorial Optimization, by Seong-hyun Hong et al.
Summary of Synergizing Llm Agents and Knowledge Graph For Socioeconomic Prediction in Lbsn, by Zhilun Zhou et al.
Summary of Diffusion Twigs with Loop Guidance For Conditional Graph Generation, by Giangiacomo Mercatali et al.
Summary of Approximate Attention with Mlp: a Pruning Strategy For Attention-based Model in Multivariate Time Series Forecasting, by Suhan Guo et al.
Summary of Bayesian-guided Label Mapping For Visual Reprogramming, by Chengyi Cai et al.
Summary of Maximum Entropy Hindsight Experience Replay, by Douglas C. Crowder et al.
Summary of Adaflow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control, by Fenmin Wu et al.
Summary of Clustering Head: a Visual Case Study Of the Training Dynamics in Transformers, by Ambroise Odonnat et al.
Summary of Joint Training For Selective Prediction, by Zhaohui Li et al.
Summary of Eigenvi: Score-based Variational Inference with Orthogonal Function Expansions, by Diana Cai et al.
Summary of Advanced Predictive Quality Assessment For Ultrasonic Additive Manufacturing with Deep Learning Model, by Lokendra Poudel et al.
Summary of Identifying General Mechanism Shifts in Linear Causal Representations, by Tianyu Chen et al.
Summary of Understanding Generalizability Of Diffusion Models Requires Rethinking the Hidden Gaussian Structure, by Xiang Li et al.
Summary of Dynamical Similarity Analysis Can Identify Compositional Dynamics Developing in Rnns, by Quentin Guilhot et al.
Summary of Local Linearity: the Key For No-regret Reinforcement Learning in Continuous Mdps, by Davide Maran et al.
Summary of Hamiltonian Monte Carlo Inference Of Marginalized Linear Mixed-effects Models, by Jinlin Lai et al.
Summary of In-context Fine-tuning For Time-series Foundation Models, by Abhimanyu Das et al.
Summary of Demystifying Linear Mdps and Novel Dynamics Aggregation Framework, by Joongkyu Lee et al.
Summary of Progressive Safeguards For Safe and Model-agnostic Reinforcement Learning, by Nabil Omi et al.
Summary of Benchmark Data Repositories For Better Benchmarking, by Rachel Longjohn et al.
Summary of Matchmaker: Self-improving Large Language Model Programs For Schema Matching, by Nabeel Seedat et al.
Summary of On Sampling Strategies For Spectral Model Sharding, by Denis Korzhenkov and Christos Louizos
Summary of Directly Optimizing Explanations For Desired Properties, by Hiwot Belay Tadesse et al.
Summary of ‘no’ Matters: Out-of-distribution Detection in Multimodality Long Dialogue, by Rena Gao and Xuetong Wu and Siwen Luo and Caren Han and Feng Liu
Summary of Failure Modes Of Llms For Causal Reasoning on Narratives, by Khurram Yamin et al.
Summary of Diffbatt: a Diffusion Model For Battery Degradation Prediction and Synthesis, by Hamidreza Eivazi et al.
Summary of Rl-star: Theoretical Analysis Of Reinforcement Learning Frameworks For Self-taught Reasoner, by Fu-chieh Chang et al.
Summary of Neural Network Verification with Pyrat, by Augustin Lemesle et al.
Summary of Analyzing & Reducing the Need For Learning Rate Warmup in Gpt Training, by Atli Kosson et al.
Summary of Bitstack: Any-size Compression Of Large Language Models in Variable Memory Environments, by Xinghao Wang et al.
Summary of Robust Sparse Regression with Non-isotropic Designs, by Chih-hung Liu et al.
Summary of Learning Macroscopic Dynamics From Partial Microscopic Observations, by Mengyi Chen et al.
Summary of Transformers to Predict the Applicability Of Symbolic Integration Routines, by Rashid Barket et al.
Summary of Quantum Deep Equilibrium Models, by Philipp Schleich et al.
Summary of Scalable Kernel Inverse Optimization, by Youyuan Long et al.
Summary of Tract: Making First-layer Pre-activations Trainable, by Felix Petersen et al.
Summary of Representative Social Choice: From Learning Theory to Ai Alignment, by Tianyi Qiu
Summary of Ada-mshyper: Adaptive Multi-scale Hypergraph Transformer For Time Series Forecasting, by Zongjiang Shang et al.
Summary of Breaking Determinism: Fuzzy Modeling Of Sequential Recommendation Using Discrete State Space Diffusion Model, by Wenjia Xie et al.
Summary of Context-aware Testing: a New Paradigm For Model Testing with Large Language Models, by Paulius Rauba et al.
Summary of Diffpad: Denoising Diffusion-based Adversarial Patch Decontamination, by Jia Fu et al.
Summary of An Information Criterion For Controlled Disentanglement Of Multimodal Data, by Chenyu Wang et al.
Summary of What Happened in Llms Layers When Trained For Fast Vs. Slow Thinking: a Gradient Perspective, by Ming Li et al.
Summary of Syno: Structured Synthesis For Neural Operators, by Yongqi Zhuo et al.
Summary of Enhancing Chess Reinforcement Learning with Graph Representation, by Tomas Rigaux et al.
Summary of Lseattention Is All You Need For Time Series Forecasting, by Dizhen Liang
Summary of Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks, by Xuyuan Liu et al.
Summary of Exacfs — a Cil Method to Mitigate Catastrophic Forgetting, by S Balasubramanian et al.
Summary of What Is Wrong with Perplexity For Long-context Language Modeling?, by Lizhe Fang et al.
Summary of Towards Convexity in Anomaly Detection: a New Formulation Of Sslm with Unique Optimal Solutions, by Hongying Liu et al.
Summary of One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently, by Weida Li and Yaoliang Yu
Summary of Cale: Continuous Arcade Learning Environment, by Jesse Farebrother et al.
Summary of Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-based Motor Learning, by Federico Nardi et al.
Summary of Weight Decay Induces Low-rank Attention Layers, by Seijin Kobayashi et al.
Summary of Disentangling Disentangled Representations: Towards Improved Latent Units Via Diffusion Models, by Youngjun Jun et al.
Summary of Generative Ai-powered Plugin For Robust Federated Learning in Heterogeneous Iot Networks, by Youngjoon Lee et al.
Summary of Reducing Oversmoothing Through Informed Weight Initialization in Graph Neural Networks, by Dimitrios Kelesis et al.
Summary of Airway Labeling Meets Clinical Applications: Reflecting Topology Consistency and Outliers Via Learnable Attentions, by Chenyu Li et al.
Summary of Deterministic Exploration Via Stationary Bellman Error Maximization, by Sebastian Griesbach et al.