Paper List

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Summary of Torchtitan: One-stop Pytorch Native Solution For Production Ready Llm Pre-training, by Wanchao Liang et al.
Summary of Diffgad: a Diffusion-based Unsupervised Graph Anomaly Detector, by Jinghan Li et al.
Summary of Do Great Minds Think Alike? Investigating Human-ai Complementarity in Question Answering with Caimira, by Maharshi Gor et al.
Summary of Harnessing the Power Of Noise: a Survey Of Techniques and Applications, by Reyhaneh Abdolazimi et al.
Summary of Sketch to Adapt: Fine-tunable Sketches For Efficient Llm Adaptation, by Tianyi Zhang et al.
Summary of Communication-efficient Federated Group Distributionally Robust Optimization, by Zhishuai Guo et al.
Summary of Physics-informed Regularization For Domain-agnostic Dynamical System Modeling, by Zijie Huang et al.
Summary of Unveiling the Backbone-optimizer Coupling Bias in Visual Representation Learning, by Siyuan Li et al.
Summary of Humvi: a Multilingual Dataset For Detecting Violent Incidents Impacting Humanitarian Aid, by Hemank Lamba et al.
Summary of Covering Numbers For Deep Relu Networks with Applications to Function Approximation and Nonparametric Regression, by Weigutian Ou et al.
Summary of Adver-city: Open-source Multi-modal Dataset For Collaborative Perception Under Adverse Weather Conditions, by Mateus Karvat et al.
Summary of Multimodal Representation Learning Using Adaptive Graph Construction, by Weichen Huang
Summary of Provable Accuracy Bounds For Hybrid Dynamical Optimization and Sampling, by Matthew X. Burns et al.
Summary of Adaptive Random Fourier Features Training Stabilized by Resampling with Applications in Image Regression, By Aku Kammonen et al.
Summary of Topology-agnostic Graph U-nets For Scalar Field Prediction on Unstructured Meshes, by Kevin Ferguson et al.
Summary of A Skewness-based Criterion For Addressing Heteroscedastic Noise in Causal Discovery, by Yingyu Lin et al.
Summary of Automating Data Science Pipelines with Tensor Completion, by Shaan Pakala et al.
Summary of Stochastic Sparse Sampling: a Framework For Variable-length Medical Time Series Classification, by Xavier Mootoo et al.
Summary of Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models with and Without Pre-trained Priors, by Michael J. Kenney et al.
Summary of Restructuring Vector Quantization with the Rotation Trick, by Christopher Fifty et al.
Summary of Fairedu: a Multiple Regression-based Method For Enhancing Fairness in Machine Learning Models For Educational Applications, by Nga Pham et al.
Summary of Nlp Case Study on Predicting the Before and After Of the Ukraine-russia and Hamas-israel Conflicts, by Jordan Miner and John E. Ortega
Summary of Stress Detection on Code-mixed Texts in Dravidian Languages Using Machine Learning, by L. Ramos et al.
Summary of Evolve: Evaluating and Optimizing Llms For Exploration, by Allen Nie et al.
Summary of Symdiff: Equivariant Diffusion Via Stochastic Symmetrisation, by Leo Zhang et al.
Summary of Shade: Deep Density-based Clustering, by Anna Beer et al.
Summary of Think While You Generate: Discrete Diffusion with Planned Denoising, by Sulin Liu et al.
Summary of Mixture Compressor For Mixture-of-experts Llms Gains More, by Wei Huang et al.
Summary of Solving Functional Optimization with Deep Networks and Variational Principles, by Kawisorn Kamtue et al.
Summary of Non-halting Queries: Exploiting Fixed Points in Llms, by Ghaith Hammouri et al.
Summary of Accelerated Preference Optimization For Large Language Model Alignment, by Jiafan He et al.
Summary of Conformal Structured Prediction, by Botong Zhang et al.
Summary of Amortized Shap Values Via Sparse Fourier Function Approximation, by Ali Gorji et al.
Summary of Compositional Risk Minimization, by Divyat Mahajan et al.
Summary of Learning in Complex Action Spaces Without Policy Gradients, by Arash Tavakoli et al.
Summary of Bayesian Estimation and Tuning-free Rank Detection For Probability Mass Function Tensors, by Joseph K. Chege et al.
Summary of Differentiation Through Black-box Quadratic Programming Solvers, by Connor W. Magoon et al.
Summary of Auto-evolve: Enhancing Large Language Model’s Performance Via Self-reasoning Framework, by Krishna Aswani et al.
Summary of Locate-then-edit For Multi-hop Factual Recall Under Knowledge Editing, by Zhuoran Zhang et al.
Summary of Filtered Randomized Smoothing: a New Defense For Robust Modulation Classification, by Wenhan Zhang et al.
Summary of Batched Bayesian Optimization with Correlated Candidate Uncertainties, by Jenna Fromer et al.
Summary of Fedgraph: a Research Library and Benchmark For Federated Graph Learning, by Yuhang Yao et al.
Summary of Tree-based Leakage Inspection and Control in Concept Bottleneck Models, by Angelos Ragkousis et al.
Summary of Uncertainty Estimation Via Ensembles Of Deep Learning Models and Dropout Layers For Seismic Traces, by Giovanni Messuti et al.
Summary of Zero-shot Learning Of Causal Models, by Divyat Mahajan et al.
Summary of Estimating the Number Of Http/3 Responses in Quic Using Deep Learning, by Barak Gahtan et al.
Summary of Quality Diversity Imitation Learning, by Zhenglin Wan et al.
Summary of Markov Equivalence and Consistency in Differentiable Structure Learning, by Chang Deng et al.
Summary of Qgym: Scalable Simulation and Benchmarking Of Queuing Network Controllers, by Haozhe Chen et al.
Summary of Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines, by Edward Milsom et al.
Summary of Neural-bayesian Program Learning For Few-shot Dialogue Intent Parsing, by Mengze Hong et al.
Summary of Benign Overfitting For Regression with Trained Two-layer Relu Networks, by Junhyung Park et al.
Summary of Manual Verbalizer Enrichment For Few-shot Text Classification, by Quang Anh Nguyen et al.
Summary of Round and Round We Go! What Makes Rotary Positional Encodings Useful?, by Federico Barbero et al.
Summary of Leanagent: Lifelong Learning For Formal Theorem Proving, by Adarsh Kumarappan et al.
Summary of Solving Robust Mdps As a Sequence Of Static Rl Problems, by Adil Zouitine et al.
Summary of Rl, but Don’t Do Anything I Wouldn’t Do, by Michael K. Cohen et al.
Summary of Dataenvgym: Data Generation Agents in Teacher Environments with Student Feedback, by Zaid Khan et al.
Summary of A Timeline and Analysis For Representation Plasticity in Large Language Models, by Akshat Kannan
Summary of Relitlrm: Generative Relightable Radiance For Large Reconstruction Models, by Tianyuan Zhang et al.
Summary of Parameter Choice and Neuro-symbolic Approaches For Deep Domain-invariant Learning, by Marius-constantin Dinu
Summary of Teochat: a Large Vision-language Assistant For Temporal Earth Observation Data, by Jeremy Andrew Irvin et al.
Summary of Unsupervised Model Diagnosis, by Yinong Oliver Wang et al.
Summary of Generalizing to Any Diverse Distribution: Uniformity, Gentle Finetuning and Rebalancing, by Andreas Loukas et al.
Summary of Long-context Llms Meet Rag: Overcoming Challenges For Long Inputs in Rag, by Bowen Jin et al.
Summary of Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-wise Updates, by Cabrel Teguemne Fokam et al.
Summary of Generalized Sparse Additive Model with Unknown Link Function, by Peipei Yuan et al.
Summary of Utilizing Lyapunov Exponents in Designing Deep Neural Networks, by Tirthankar Mittra
Summary of Is the Mmi Criterion Necessary For Interpretability? Degenerating Non-causal Features to Plain Noise For Self-rationalization, by Wei Liu et al.
Summary of Unveiling Transformer Perception by Exploring Input Manifolds, By Alessandro Benfenati and Alfio Ferrara and Alessio Marta and Davide Riva and Elisabetta Rocchetti
Summary of Qt-dog: Quantization-aware Training For Domain Generalization, by Saqib Javed et al.
Summary of Sparse Repellency For Shielded Generation in Text-to-image Diffusion Models, by Michael Kirchhof et al.
Summary of Jet Expansions Of Residual Computation, by Yihong Chen et al.
Summary of Qera: An Analytical Framework For Quantization Error Reconstruction, by Cheng Zhang et al.
Summary of Extracting Finite State Machines From Transformers, by Rik Adriaensen et al.
Summary of Hierarchical Matrix Completion For the Prediction Of Properties Of Binary Mixtures, by Dominik Gond et al.
Summary of Gaussian-based and Outside-the-box Runtime Monitoring Join Forces, by Vahid Hashemi et al.
Summary of Posets and Bounded Probabilities For Discovering Order-inducing Features in Event Knowledge Graphs, by Christoffer Olling Back and Jakob Grue Simonsen
Summary of Enforcing Interpretability in Time Series Transformers: a Concept Bottleneck Framework, by Angela Van Sprang et al.
Summary of Contrastive Learning to Fine-tune Feature Extraction Models For the Visual Cortex, by Alex Mulrooney and Austin J. Brockmeier
Summary of Scalable Mechanistic Neural Networks For Differential Equations and Machine Learning, by Jiale Chen et al.
Summary of Diversity-rewarded Cfg Distillation, by Geoffrey Cideron et al.
Summary of Continuous Contrastive Learning For Long-tailed Semi-supervised Recognition, by Zi-hao Zhou and Siyuan Fang and Zi-jing Zhou and Tong Wei and Yuanyu Wan and Min-ling Zhang
Summary of Contextual Bandits with Non-stationary Correlated Rewards For User Association in Mmwave Vehicular Networks, by Xiaoyang He et al.
Summary of Enhanced Feature Based Granular Ball Twin Support Vector Machine, by A. Quadir et al.
Summary of Extended Convexity and Smoothness and Their Applications in Deep Learning, by Binchuan Qi et al.
Summary of Uncertainty-aware Fairness-adaptive Classification Trees, by Anna Gottard and Vanessa Verrina and Sabrina Giordano
Summary of Cap: Detecting Unauthorized Data Usage in Generative Models Via Prompt Generation, by Daniela Gallo et al.
Summary of Melissadl X Breed: Towards Data-efficient On-line Supervised Training Of Multi-parametric Surrogates with Active Learning, by Sofya Dymchenko (datamove) et al.
Summary of Stochastic Bandits For Egalitarian Assignment, by Eugene Lim et al.
Summary of Time Transfer: on Optimal Learning Rate and Batch Size in the Infinite Data Limit, by Oleg Filatov et al.
Summary of Improved Sample Complexity For Private Nonsmooth Nonconvex Optimization, by Guy Kornowski et al.
Summary of Ordering-based Causal Discovery For Linear and Nonlinear Relations, by Zhuopeng Xu et al.
Summary of Deep Learning-based Fault Identification in Condition Monitoring, by Hariom Dhungana et al.
Summary of Dimol: Dimensional Awareness As a New ‘dimension’ in Operator Learning, by Yichen Song et al.
Summary of Manifolds, Random Matrices and Spectral Gaps: the Geometric Phases Of Generative Diffusion, by Enrico Ventura et al.
Summary of Brain-inspired Continual Pre-trained Learner Via Silent Synaptic Consolidation, by Xuming Ran et al.
Summary of Accelerating Error Correction Code Transformers, by Matan Levy et al.
Summary of Active Evaluation Acquisition For Efficient Llm Benchmarking, by Yang Li et al.
Summary of Single Point-based Distributed Zeroth-order Optimization with a Non-convex Stochastic Objective Function, by Elissa Mhanna and Mohamad Assaad