Paper List

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Summary of Mlkv: Multi-layer Key-value Heads For Memory Efficient Transformer Decoding, by Zayd Muhammad Kawakibi Zuhri et al.
Summary of Neural Assets: 3d-aware Multi-object Scene Synthesis with Image Diffusion Models, by Ziyi Wu et al.
Summary of What Is Fair? Defining Fairness in Machine Learning For Health, by Jianhui Gao et al.
Summary of Transformers Meet Neural Algorithmic Reasoners, by Wilfried Bounsi et al.
Summary of State-space Modeling in Long Sequence Processing: a Survey on Recurrence in the Transformer Era, by Matteo Tiezzi et al.
Summary of On the Robustness Of Global Feature Effect Explanations, by Hubert Baniecki et al.
Summary of Faircot: Enhancing Fairness in Text-to-image Generation Via Chain Of Thought Reasoning with Multimodal Large Language Models, by Zahraa Al Sahili et al.
Summary of Flamepinn-1d: Physics-informed Neural Networks to Solve Forward and Inverse Problems Of 1d Laminar Flames, by Jiahao Wu et al.
Summary of Hadamard Representations: Augmenting Hyperbolic Tangents in Rl, by Jacob E. Kooi et al.
Summary of Are We Making Progress in Unlearning? Findings From the First Neurips Unlearning Competition, by Eleni Triantafillou et al.
Summary of Operator-informed Score Matching For Markov Diffusion Models, by Zheyang Shen and Chris J. Oates
Summary of Diffpogan: Diffusion Policies with Generative Adversarial Networks For Offline Reinforcement Learning, by Xuemin Hu et al.
Summary of Ins-mmbench: a Comprehensive Benchmark For Evaluating Lvlms’ Performance in Insurance, by Chenwei Lin et al.
Summary of Time-series Forecasting For Out-of-distribution Generalization Using Invariant Learning, by Haoxin Liu et al.
Summary of Injective Flows For Star-like Manifolds, by Marcello Massimo Negri et al.
Summary of Jacobian-enhanced Neural Networks, by Steven H. Berguin
Summary of Chain Of Preference Optimization: Improving Chain-of-thought Reasoning in Llms, by Xuan Zhang et al.
Summary of Generative Ai-based Prompt Evolution Engineering Design Optimization with Vision-language Model, by Melvin Wong et al.
Summary of Optimal Control Of Agent-based Dynamics Under Deep Galerkin Feedback Laws, by Frederik Kelbel
Summary of Weakly-supervised Anomaly Detection For Multimodal Data Distributions, by Xu Tan et al.
Summary of Defan: Definitive Answer Dataset For Llms Hallucination Evaluation, by a B M Ashikur Rahman et al.
Summary of Towards Multilingual Audio-visual Question Answering, by Orchid Chetia Phukan et al.
Summary of Generative Vs. Discriminative Modeling Under the Lens Of Uncertainty Quantification, by Elouan Argouarc’h et al.
Summary of Scalable and Flexible Causal Discovery with An Efficient Test For Adjacency, by Alan Nawzad Amin and Andrew Gordon Wilson
Summary of Neural Nerf Compression, by Tuan Pham et al.
Summary of Preserving Identity with Variational Score For General-purpose 3d Editing, by Duong H. Le et al.
Summary of An Unsupervised Approach to Achieve Supervised-level Explainability in Healthcare Records, by Joakim Edin et al.
Summary of Bts: Building Timeseries Dataset: Empowering Large-scale Building Analytics, by Arian Prabowo et al.
Summary of Separation Power Of Equivariant Neural Networks, by Marco Pacini et al.
Summary of Xland-100b: a Large-scale Multi-task Dataset For In-context Reinforcement Learning, by Alexander Nikulin and Ilya Zisman and Alexey Zemtsov and Vladislav Kurenkov
Summary of Classic Gnns Are Strong Baselines: Reassessing Gnns For Node Classification, by Yuankai Luo et al.
Summary of Enhancing Cross-modal Fine-tuning with Gradually Intermediate Modality Generation, by Lincan Cai et al.
Summary of Fredformer: Frequency Debiased Transformer For Time Series Forecasting, by Xihao Piao et al.
Summary of Deep Learning Empowered Sensor Fusion Boosts Infant Movement Classification, by Tomas Kulvicius et al.
Summary of Schur’s Positive-definite Network: Deep Learning in the Spd Cone with Structure, by Can Pouliquen and Mathurin Massias and Titouan Vayer
Summary of Cuer: Corrected Uniform Experience Replay For Off-policy Continuous Deep Reinforcement Learning Algorithms, by Arda Sarp Yenicesu et al.
Summary of A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability, by Pengyun Wang et al.
Summary of Exioml: Eco-economic Dataset For Machine Learning in Global Sectoral Sustainability, by Yanming Guo et al.
Summary of Me-switch: a Memory-efficient Expert Switching Framework For Large Language Models, by Jing Liu et al.
Summary of Central Limit Theorem For Bayesian Neural Network Trained with Variational Inference, by Arnaud Descours (magnet) et al.
Summary of Efficiently Deciding Algebraic Equivalence Of Bow-free Acyclic Path Diagrams, by Thijs Van Ommen
Summary of Bayesian Structural Model Updating with Multimodal Variational Autoencoder, by Tatsuya Itoi et al.
Summary of Data-free Generative Replay For Class-incremental Learning on Imbalanced Data, by Sohaib Younis and Bernhard Seeger
Summary of Dispelling the Mirage Of Progress in Offline Marl Through Standardised Baselines and Evaluation, by Claude Formanek et al.
Summary of Towards Understanding Link Predictor Generalizability Under Distribution Shifts, by Jay Revolinsky et al.
Summary of Pareto Front-diverse Batch Multi-objective Bayesian Optimization, by Alaleh Ahmadianshalchi et al.
Summary of A Dual Approach to Imitation Learning From Observations with Offline Datasets, by Harshit Sikchi et al.
Summary of Aim: Attributing, Interpreting, Mitigating Data Unfairness, by Zhining Liu et al.
Summary of Center-sensitive Kernel Optimization For Efficient On-device Incremental Learning, by Dingwen Zhang et al.
Summary of Conceptual Learning Via Embedding Approximations For Reinforcing Interpretability and Transparency, by Maor Dikter et al.
Summary of Research on Optimization Of Natural Language Processing Model Based on Multimodal Deep Learning, by Dan Sun et al.
Summary of Inverse Probability Of Treatment Weighting with Deep Sequence Models Enables Accurate Treatment Effect Estimation From Electronic Health Records, by Junghwan Lee et al.
Summary of Assessment Of Uncertainty Quantification in Universal Differential Equations, by Nina Schmid et al.
Summary of Current Applications and Potential Future Directions Of Reinforcement Learning-based Digital Twins in Agriculture, by Georg Goldenits et al.
Summary of Cognitively Inspired Energy-based World Models, by Alexi Gladstone et al.
Summary of Research on Early Warning Model Of Cardiovascular Disease Based on Computer Deep Learning, by Yuxiang Hu et al.
Summary of Cimrl: Combining Imitation and Reinforcement Learning For Safe Autonomous Driving, by Jonathan Booher et al.
Summary of Motif-driven Subgraph Structure Learning For Graph Classification, by Zhiyao Zhou et al.
Summary of The Penalized Inverse Probability Measure For Conformal Classification, by Paul Melki (ims) et al.
Summary of Adaptwin: Low-cost Adaptive Compression Of Product Twins in Transformers, by Emil Biju et al.
Summary of Computer Vision Approaches For Automated Bee Counting Application, by Simon Bilik et al.
Summary of Step-by-step Diffusion: An Elementary Tutorial, by Preetum Nakkiran et al.
Summary of Navigating the Shadows: Unveiling Effective Disturbances For Modern Ai Content Detectors, by Ying Zhou et al.
Summary of Efficient Multi-view Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals, by Qihan Hu et al.
Summary of Optimized Feature Generation For Tabular Data Via Llms with Decision Tree Reasoning, by Jaehyun Nam et al.
Summary of Adaptive Teaching with Shared Classifier For Knowledge Distillation, by Jaeyeon Jang et al.
Summary of Hdnet: Physics-inspired Neural Network For Flow Estimation Based on Helmholtz Decomposition, by Miao Qi et al.
Summary of Cs-bench: a Comprehensive Benchmark For Large Language Models Towards Computer Science Mastery, by Xiaoshuai Song et al.
Summary of Fakeinversion: Learning to Detect Images From Unseen Text-to-image Models by Inverting Stable Diffusion, By George Cazenavette et al.
Summary of Layereddoc: Domain Adaptive Document Restoration with a Layer Separation Approach, by Maria Pilligua et al.
Summary of Self-supervised Speech Representations Are More Phonetic Than Semantic, by Kwanghee Choi et al.
Summary of Time-mmd: Multi-domain Multimodal Dataset For Time Series Analysis, by Haoxin Liu et al.
Summary of Towards Integrating Personal Knowledge Into Test-time Predictions, by Isaac Lage et al.
Summary of Conditional Similarity Triplets Enable Covariate-informed Representations Of Single-cell Data, by Chi-jane Chen et al.
Summary of Large Stepsize Gradient Descent For Non-homogeneous Two-layer Networks: Margin Improvement and Fast Optimization, by Yuhang Cai et al.
Summary of Motive: a Drug-target Interaction Graph For Inductive Link Prediction, by John Arevalo et al.
Summary of Pruning Is Optimal For Learning Sparse Features in High-dimensions, by Nuri Mert Vural and Murat A. Erdogdu
Summary of Helpsteer2: Open-source Dataset For Training Top-performing Reward Models, by Zhilin Wang et al.
Summary of Uno: Unsupervised Occupancy Fields For Perception and Forecasting, by Ben Agro et al.
Summary of Introducing Diminutive Causal Structure Into Graph Representation Learning, by Hang Gao et al.
Summary of An Ai Architecture with the Capability to Explain Recognition Results, by Paul Whitten et al.
Summary of Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner, by Tong Nie et al.
Summary of Mathematical Models For Off-ball Scoring Prediction in Basketball, by Rikako Kono and Keisuke Fujii
Summary of Llm-based Knowledge Pruning For Time Series Data Analytics on Edge-computing Devices, by Ruibing Jin et al.
Summary of Differentiable Cost-parameterized Monge Map Estimators, by Samuel Howard et al.
Summary of Scaling Value Iteration Networks to 5000 Layers For Extreme Long-term Planning, by Yuhui Wang et al.
Summary of Rrls : Robust Reinforcement Learning Suite, by Adil Zouitine et al.
Summary of Discovering Preference Optimization Algorithms with and For Large Language Models, by Chris Lu et al.
Summary of Improving Noise Robustness Through Abstractions and Its Impact on Machine Learning, by Alfredo Ibias (1) et al.
Summary of Diffusion Soup: Model Merging For Text-to-image Diffusion Models, by Benjamin Biggs et al.
Summary of Adaptive Swarm Mesh Refinement Using Deep Reinforcement Learning with Local Rewards, by Niklas Freymuth et al.
Summary of Transform-dependent Adversarial Attacks, by Yaoteng Tan et al.
Summary of The Impact Of Initialization on Lora Finetuning Dynamics, by Soufiane Hayou et al.
Summary of Nonconvex Federated Learning on Compact Smooth Submanifolds with Heterogeneous Data, by Jiaojiao Zhang et al.
Summary of Scaling Laws in Linear Regression: Compute, Parameters, and Data, by Licong Lin et al.
Summary of Pal: Pluralistic Alignment Framework For Learning From Heterogeneous Preferences, by Daiwei Chen et al.
Summary of Rile: Reinforced Imitation Learning, by Mert Albaba et al.
Summary of Strategies For Pretraining Neural Operators, by Anthony Zhou et al.
Summary of Real2code: Reconstruct Articulated Objects Via Code Generation, by Zhao Mandi et al.
Summary of Ice-g: Image Conditional Editing Of 3d Gaussian Splats, by Vishnu Jaganathan et al.