Paper List

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Summary of Qmvit: a Mushroom Is Worth 16×16 Words, by Siddhant Dutta et al.
Summary of Sensing Technologies and Machine Learning Methods For Emotion Recognition in Autism: Systematic Review, by Oresti Banos et al.
Summary of A Unified Learn-to-distort-data Framework For Privacy-utility Trade-off in Trustworthy Federated Learning, by Xiaojin Zhang et al.
Summary of Regulating Model Reliance on Non-robust Features by Smoothing Input Marginal Density, By Peiyu Yang et al.
Summary of Quantum Channel Learning, by Mikhail Gennadievich Belov et al.
Summary of Discovering Physical Laws with Parallel Combinatorial Tree Search, by Kai Ruan et al.
Summary of Trustworthy Classification Through Rank-based Conformal Prediction Sets, by Rui Luo and Zhixin Zhou
Summary of Spatiotemporal Forecasting Of Traffic Flow Using Wavelet-based Temporal Attention, by Yash Jakhmola et al.
Summary of Multi-modal Masked Siamese Network Improves Chest X-ray Representation Learning, by Saeed Shurrab et al.
Summary of Hindsight Preference Learning For Offline Preference-based Reinforcement Learning, by Chen-xiao Gao et al.
Summary of Smart Sampling: Helping From Friendly Neighbors For Decentralized Federated Learning, by Lin Wang et al.
Summary of Rethinking Data Input For Point Cloud Upsampling, by Tongxu Zhang
Summary of Loco: Low-bit Communication Adaptor For Large-scale Model Training, by Xingyu Xie et al.
Summary of Leveraging Graph Structures to Detect Hallucinations in Large Language Models, by Noa Nonkes et al.
Summary of Proud: Pareto-guided Diffusion Model For Multi-objective Generation, by Yinghua Yao et al.
Summary of Using Petri Nets As An Integrated Constraint Mechanism For Reinforcement Learning Tasks, by Timon Sachweh et al.
Summary of Layershuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order, By Matthias Freiberger et al.
Summary of G-adaptivity: Optimised Graph-based Mesh Relocation For Finite Element Methods, by James Rowbottom et al.
Summary of Graph Reinforcement Learning For Power Grids: a Comprehensive Survey, by Mohamed Hassouna et al.
Summary of Gpt Vs Retro: Exploring the Intersection Of Retrieval and Parameter-efficient Fine-tuning, by Aleksander Ficek et al.
Summary of Introducing ‘inside’ Out Of Distribution, by Teddy Lazebnik
Summary of Pdiscoformer: Relaxing Part Discovery Constraints with Vision Transformers, by Ananthu Aniraj et al.
Summary of Poprero: a New Dataset For Popularity Prediction Of Romanian Reddit Posts, by Ana-cristina Rogoz et al.
Summary of Quantifying Prediction Consistency Under Model Multiplicity in Tabular Llms, by Faisal Hamman et al.
Summary of Meta-learning and Representation Learner: a Short Theoretical Note, by Mouad El Bouchattaoui
Summary of Kan-odes: Kolmogorov-arnold Network Ordinary Differential Equations For Learning Dynamical Systems and Hidden Physics, by Benjamin C. Koenig et al.
Summary of Timeldm: Latent Diffusion Model For Unconditional Time Series Generation, by Jian Qian et al.
Summary of A Multi-step Minimax Q-learning Algorithm For Two-player Zero-sum Markov Games, by Shreyas S R et al.
Summary of Graph Pooling Via Ricci Flow, by Amy Feng et al.
Summary of Unified Interpretation Of Smoothing Methods For Negative Sampling Loss Functions in Knowledge Graph Embedding, by Xincan Feng et al.
Summary of Machine Learning For Complex Systems with Abnormal Pattern by Exception Maximization Outlier Detection Method, By Zhikun Zhang et al.
Summary of Langevin Dynamics: a Unified Perspective on Optimization Via Lyapunov Potentials, by August Y. Chen et al.
Summary of Variational Partial Group Convolutions For Input-aware Partial Equivariance Of Rotations and Color-shifts, by Hyunsu Kim et al.
Summary of Neufair: Neural Network Fairness Repair with Dropout, by Vishnu Asutosh Dasu et al.
Summary of Accelerating Communication in Deep Learning Recommendation Model Training with Dual-level Adaptive Lossy Compression, by Hao Feng et al.
Summary of Bioserc: Integrating Biography Speakers Supported by Llms For Erc Tasks, By Jieying Xue et al.
Summary of Tackling Data Corruption in Offline Reinforcement Learning Via Sequence Modeling, by Jiawei Xu et al.
Summary of Crafting Large Language Models For Enhanced Interpretability, by Chung-en Sun et al.
Summary of Fair Federated Data Clustering Through Personalization: Bridging the Gap Between Diverse Data Distributions, by Shivam Gupta et al.
Summary of Ssp-gnn: Learning to Track Via Bilevel Optimization, by Griffin Golias et al.
Summary of Geometrically Inspired Kernel Machines For Collaborative Learning Beyond Gradient Descent, by Mohit Kumar et al.
Summary of Learning Geometric Invariant Features For Classification Of Vector Polygons with Graph Message-passing Neural Network, by Zexian Huang et al.
Summary of Understanding the Role Of Invariance in Transfer Learning, by Till Speicher et al.
Summary of Concept Bottleneck Models Without Predefined Concepts, by Simon Schrodi et al.
Summary of Uncertainty-guided Optimization on Large Language Model Search Trees, by Julia Grosse et al.
Summary of Reduced-order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs, by Hrishikesh Viswanath et al.
Summary of Generalizing Graph Transformers Across Diverse Graphs and Tasks Via Pre-training on Industrial-scale Data, by Yufei He et al.
Summary of Leveraging Latent Diffusion Models For Training-free In-distribution Data Augmentation For Surface Defect Detection, by Federico Girella et al.
Summary of Improving Sample Efficiency Of Reinforcement Learning with Background Knowledge From Large Language Models, by Fuxiang Zhang et al.
Summary of Zero-failure Testing Of Binary Classifiers, by Ioannis Ivrissimtzis et al.
Summary of Roer: Regularized Optimal Experience Replay, by Changling Li et al.
Summary of Pase: Parallelization Strategies For Efficient Dnn Training, by Venmugil Elango
Summary of Robust Learning Under Hybrid Noise, by Yang Wei et al.
Summary of Learning Non-linear Invariants For Unsupervised Out-of-distribution Detection, by Lars Doorenbos et al.
Summary of Talent: a Tabular Analytics and Learning Toolbox, by Si-yang Liu et al.
Summary of An Autoencoder Architecture For L-band Passive Microwave Retrieval Of Landscape Freeze-thaw Cycle, by Divya Kumawat et al.
Summary of A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations, by Md Tahmid Rahman Laskar et al.
Summary of Query-guided Self-supervised Summarization Of Nursing Notes, by Ya Gao et al.
Summary of Dotamath: Decomposition Of Thought with Code Assistance and Self-correction For Mathematical Reasoning, by Chengpeng Li et al.
Summary of Sinekan: Kolmogorov-arnold Networks Using Sinusoidal Activation Functions, by Eric A. F. Reinhardt et al.
Summary of Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers, by Terry Tong et al.
Summary of Mixture Of a Million Experts, by Xu Owen He
Summary of Learning Interpretable Differentiable Logic Networks, by Chang Yue and Niraj K. Jha
Summary of Deep Learning Architectures For Data-driven Damage Detection in Nonlinear Dynamic Systems, by Harrish Joseph et al.
Summary of Improving Self-supervised Pre-training Using Accent-specific Codebooks, by Darshan Prabhu et al.
Summary of Measuring Orthogonality in Representations Of Generative Models, by Robin C. Geyer et al.
Summary of Convolutional Vs Large Language Models For Software Log Classification in Edge-deployable Cellular Network Testing, by Achintha Ihalage et al.
Summary of Functional Faithfulness in the Wild: Circuit Discovery with Differentiable Computation Graph Pruning, by Lei Yu et al.
Summary of Multi-time Scale Service Caching and Pricing in Mec Systems with Dynamic Program Popularity, by Yiming Chen et al.
Summary of Neurosteiner: a Graph Transformer For Wirelength Estimation, by Sahil Manchanda et al.
Summary of Seamless Monitoring Of Stress Levels Leveraging a Universal Model For Time Sequences, by Davide Gabrielli et al.
Summary of Adapt: Multimodal Learning For Detecting Physiological Changes Under Missing Modalities, by Julie Mordacq et al.
Summary of Unsupervised Disentanglement Of Content and Style Via Variance-invariance Constraints, by Yuxuan Wu et al.
Summary of Implicit Hypersurface Approximation Capacity in Deep Relu Networks, by Jonatan Vallin et al.
Summary of Bias Of Stochastic Gradient Descent or the Architecture: Disentangling the Effects Of Overparameterization Of Neural Networks, by Amit Peleg and Matthias Hein
Summary of Q-adapter: Customizing Pre-trained Llms to New Preferences with Forgetting Mitigation, by Yi-chen Li et al.
Summary of Fedsat: a Statistical Aggregation Approach For Class Imbalanced Clients in Federated Learning, by Sujit Chowdhury et al.
Summary of Adversarial Robustness Of Vaes Across Intersectional Subgroups, by Chethan Krishnamurthy Ramanaik et al.
Summary of The Solution For the Gaiic2024 Rgb-tir Object Detection Challenge, by Xiangyu Wu et al.
Summary of Geodesic Optimization For Predictive Shift Adaptation on Eeg Data, by Apolline Mellot et al.
Summary of Dicti: Diffusion-based Clothing Designer Via Text-guided Input, by Ajda Lampe (2) et al.
Summary of Gflora: a Topology-aware Method to Discover Functional Co-response Groups in Soil Microbial Communities, by Nan Chen et al.
Summary of Support Vector Based Anomaly Detection in Federated Learning, by Massimo Frasson and Dario Malchiodi
Summary of Hemm: Holistic Evaluation Of Multimodal Foundation Models, by Paul Pu Liang et al.
Summary of Nebula: Neural Empirical Bayes Under Latent Representations For Efficient and Controllable Design Of Molecular Libraries, by Ewa M. Nowara et al.
Summary of A Role Of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents, by Andrew Liu et al.
Summary of Domain-aware Fine-tuning Of Foundation Models, by Ugur Ali Kaplan et al.
Summary of How Jepa Avoids Noisy Features: the Implicit Bias Of Deep Linear Self Distillation Networks, by Etai Littwin et al.
Summary of Agentinstruct: Toward Generative Teaching with Agentic Flows, by Arindam Mitra et al.
Summary of Feature-specific Coefficients Of Determination in Tree Ensembles, by Zhongli Jiang et al.
Summary of Decision-focused Evaluation Of Worst-case Distribution Shift, by Kevin Ren et al.
Summary of An Axiomatic Definition Of Hierarchical Clustering, by Ery Arias-castro and Elizabeth Coda
Summary of Generative Technology For Human Emotion Recognition: a Scope Review, by Fei Ma et al.
Summary of Msfusion: a Dynamic Model Splitting Approach For Resource-constrained Machines to Collaboratively Train Larger Models, by Jin Xie et al.
Summary of Qet: Enhancing Quantized Llm Parameters and Kv Cache Compression Through Element Substitution and Residual Clustering, by Yanshu Wang et al.
Summary of Learning Scalable Model Soup on a Single Gpu: An Efficient Subspace Training Strategy, by Tao Li et al.
Summary of A Survey Of Data Synthesis Approaches, by Hsin-yu Chang et al.
Summary of Reliable Projection Based Unsupervised Learning For Semi-definite Qcqp with Application Of Beamforming Optimization, by Xiucheng Wang and Qi Qiu and Nan Cheng
Summary of Improving Self Consistency in Llms Through Probabilistic Tokenization, by Ashutosh Sathe et al.
Summary of Short-long Policy Evaluation with Novel Actions, by Hyunji Alex Nam et al.