Paper List

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Summary of Training a Neural Netwok For Data Reduction and Better Generalization, by Sylvain Sardy and Maxime Van Cutsem and Xiaoyu Ma
Summary of X-meshgraphnet: Scalable Multi-scale Graph Neural Networks For Physics Simulation, by Mohammad Amin Nabian et al.
Summary of Learning Hierarchical Polynomials Of Multiple Nonlinear Features with Three-layer Networks, by Hengyu Fu et al.
Summary of Classifier-free Guidance Inside the Attraction Basin May Cause Memorization, by Anubhav Jain et al.
Summary of Priordiffusion: Leverage Language Prior in Diffusion Models For Monocular Depth Estimation, by Ziyao Zeng et al.
Summary of In-context Experience Replay Facilitates Safety Red-teaming Of Text-to-image Diffusion Models, by Zhi-yi Chin et al.
Summary of Libragrad: Balancing Gradient Flow For Universally Better Vision Transformer Attributions, by Faridoun Mehri (1) et al.
Summary of Parameter Efficient Instruction Tuning: An Empirical Study, by Pengfei He
Summary of Scaling Laws For Black Box Adversarial Attacks, by Chuan Liu et al.
Summary of Learning Predictive Checklists with Probabilistic Logic Programming, by Yukti Makhija et al.
Summary of Towards Efficient Model-heterogeneity Federated Learning For Large Models, by Ruofan Jia et al.
Summary of Enhancing In-hospital Mortality Prediction Using Multi-representational Learning with Llm-generated Expert Summaries, by Harshavardhan Battula et al.
Summary of Pathways on the Image Manifold: Image Editing Via Video Generation, by Noam Rotstein et al.
Summary of Kl-geodesics Flow Matching with a Novel Sampling Scheme, by Egor Sevriugov et al.
Summary of Beyond Sight: Towards Cognitive Alignment in Lvlm Via Enriched Visual Knowledge, by Yaqi Zhao and Yuanyang Yin and Lin Li and Mingan Lin and Victor Shea-jay Huang and Siwei Chen and Weipeng Chen and Baoqun Yin and Zenan Zhou and Wentao Zhang
Summary of Decision Making Under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets, by Charita Dellaporta and Patrick O’hara and Theodoros Damoulas
Summary of Curvature in the Looking-glass: Optimal Methods to Exploit Curvature Of Expectation in the Loss Landscape, by Jed A. Duersch et al.
Summary of Edit Away and My Face Will Not Stay: Personal Biometric Defense Against Malicious Generative Editing, by Hanhui Wang et al.
Summary of Recast: Reparameterized, Compact Weight Adaptation For Sequential Tasks, by Nazia Tasnim and Bryan A. Plummer
Summary of Explainable Ai Approach Using Near Misses Analysis, by Eran Kaufman and Avivit Levy
Summary of Exptest: Automating Learning Rate Searching and Tuning with Insights From Linearized Neural Networks, by Zan Chaudhry and Naoko Mizuno
Summary of Probing the Limitations Of Multimodal Language Models For Chemistry and Materials Research, by Nawaf Alampara et al.
Summary of Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework, by Amirabbas Afzali et al.
Summary of Distributed, Communication-efficient, and Differentially Private Estimation Of Kl Divergence, by Mary Scott et al.
Summary of Fundamental Limits Of Prompt Tuning Transformers: Universality, Capacity and Efficiency, by Jerry Yao-chieh Hu et al.
Summary of Continual Deep Reinforcement Learning with Task-agnostic Policy Distillation, by Muhammad Burhan Hafez et al.
Summary of Transformers Are Deep Optimizers: Provable In-context Learning For Deep Model Training, by Weimin Wu et al.
Summary of Representation Collapsing Problems in Vector Quantization, by Wenhao Zhao et al.
Summary of Generating Out-of-distribution Scenarios Using Language Models, by Erfan Aasi et al.
Summary of Adversarial Attacks For Drift Detection, by Fabian Hinder et al.
Summary of Enhancing Few-shot Learning with Integrated Data and Gan Model Approaches, by Yinqiu Feng et al.
Summary of Enhancing Llm Reasoning Via Critique Models with Test-time and Training-time Supervision, by Zhiheng Xi et al.
Summary of Exploring Discrete Flow Matching For 3d De Novo Molecule Generation, by Ian Dunn et al.
Summary of Graph Pooling by Local Cluster Selection, By Yizhu Chen
Summary of Self-generated Critiques Boost Reward Modeling For Language Models, by Yue Yu et al.
Summary of Fast Training Of Large Kernel Models with Delayed Projections, by Amirhesam Abedsoltan et al.
Summary of Gaussian Process Priors For Boundary Value Problems Of Linear Partial Differential Equations, by Jianlei Huang et al.
Summary of Catnet: Effective Fdr Control in Lstm with Gaussian Mirrors and Shap Feature Importance, by Jiaan Han et al.
Summary of Quark: Real-time, High-resolution, and General Neural View Synthesis, by John Flynn et al.
Summary of Parce: Probabilistic and Reconstruction-based Competency Estimation For Cnn-based Image Classification, by Sara Pohland and Claire Tomlin
Summary of Learn2synth: Learning Optimal Data Synthesis Using Hypergradients For Brain Image Segmentation, by Xiaoling Hu et al.
Summary of Maximizing the Impact Of Deep Learning on Subseasonal-to-seasonal Climate Forecasting: the Essential Role Of Optimization, by Yizhen Guo et al.
Summary of Federated Learning in Chemical Engineering: a Tutorial on a Framework For Privacy-preserving Collaboration Across Distributed Data Sources, by Siddhant Dutta et al.
Summary of Diffdesign: Controllable Diffusion with Meta Prior For Efficient Interior Design Generation, by Yuxuan Yang et al.
Summary of Evaluating Rank-n-contrast: Continuous and Robust Representations For Regression, by Six Valentin et al.
Summary of Learning From Relevant Subgoals in Successful Dialogs Using Iterative Training For Task-oriented Dialog Systems, by Magdalena Kaiser et al.
Summary of Understanding Generalization Of Federated Learning: the Trade-off Between Model Stability and Optimization, by Dun Zeng et al.
Summary of Catp-llm: Empowering Large Language Models For Cost-aware Tool Planning, by Duo Wu et al.
Summary of Local Learning For Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables, by Zheng Li et al.
Summary of Towards Foundation Models For Critical Care Time Series, by Manuel Burger et al.
Summary of A Data-driven Approach to Dataflow-aware Online Scheduling For Graph Neural Network Inference, by Pol Puigdemont et al.
Summary of Machine Learning For Cerebral Blood Vessels’ Malformations, by Irem Topal et al.
Summary of A Review Of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation, by M.m.a. Valiuddin et al.
Summary of Turbofan Engine Remaining Useful Life (rul) Prediction Based on Bi-directional Long Short-term Memory (blstm), by Abedin Sherifi
Summary of Machine Learning For the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks, by Asanobu Kitamoto et al.
Summary of Unsupervised Event Outlier Detection in Continuous Time, by Somjit Nath et al.
Summary of Privacy Protection in Personalized Diffusion Models Via Targeted Cross-attention Adversarial Attack, by Xide Xu et al.
Summary of Tifed: a Tiny Integer-based Federated Learning Algorithm with Direct Feedback Alignment, by Luca Colombo et al.
Summary of On the Reconstruction Of Training Data From Group Invariant Networks, by Ran Elbaz et al.
Summary of Lion Cub: Minimizing Communication Overhead in Distributed Lion, by Satoki Ishikawa et al.
Summary of No Identity, No Problem: Motion Through Detection For People Tracking, by Martin Engilberge et al.
Summary of Interpreting Language Reward Models Via Contrastive Explanations, by Junqi Jiang et al.
Summary of Distributed Online Optimization with Stochastic Agent Availability, by Juliette Achddou et al.
Summary of Context Awareness Gate For Retrieval Augmented Generation, by Mohammad Hassan Heydari et al.
Summary of Df-gnn: Dynamic Fusion Framework For Attention Graph Neural Networks on Gpus, by Jiahui Liu et al.
Summary of Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics, by Tian Bowen et al.
Summary of Causal Adjacency Learning For Spatiotemporal Prediction Over Graphs, by Zhaobin Mo et al.
Summary of Dede: Detecting Backdoor Samples For Ssl Encoders Via Decoders, by Sizai Hou et al.
Summary of Videoorion: Tokenizing Object Dynamics in Videos, by Yicheng Feng et al.
Summary of Graph Adapter Of Eeg Foundation Models For Parameter Efficient Fine Tuning, by Toyotaro Suzumura et al.
Summary of Mixpe: Quantization and Hardware Co-design For Efficient Llm Inference, by Yu Zhang et al.
Summary of Sparse Patches Adversarial Attacks Via Extrapolating Point-wise Information, by Yaniv Nemcovsky et al.
Summary of Badsfl: Backdoor Attack Against Scaffold Federated Learning, by Xingshuo Han et al.
Summary of Learn From Foundation Model: Fruit Detection Model Without Manual Annotation, by Yanan Wang and Zhenghao Fei and Ruichen Li and Yibin Ying
Summary of Neural Network-based High-index Saddle Dynamics Method For Searching Saddle Points and Solution Landscape, by Yuankai Liu et al.
Summary of Video-text Dataset Construction From Multi-ai Feedback: Promoting Weak-to-strong Preference Learning For Video Large Language Models, by Hao Yi and Qingyang Li and Yulan Hu and Fuzheng Zhang and Di Zhang and Yong Liu
Summary of Batch Bayesian Optimization Via Expected Subspace Improvement, by Dawei Zhan et al.
Summary of Effective Non-random Extreme Learning Machine, by Daniela De Canditiis and Fabiano Veglianti
Summary of Efficient Pooling Of Predictions Via Kernel Embeddings, by Sam Allen et al.
Summary of Transparent Neighborhood Approximation For Text Classifier Explanation, by Yi Cai et al.
Summary of Even Sparser Graph Transformers, by Hamed Shirzad et al.
Summary of Unraveling Arithmetic in Large Language Models: the Role Of Algebraic Structures, by Fu-chieh Chang et al.
Summary of A Graph Neural Architecture Search Approach For Identifying Bots in Social Media, by Georgios Tzoumanekas et al.
Summary of Adaptive Methods Through the Lens Of Sdes: Theoretical Insights on the Role Of Noise, by Enea Monzio Compagnoni et al.
Summary of Stability Properties Of Gradient Flow Dynamics For the Symmetric Low-rank Matrix Factorization Problem, by Hesameddin Mohammadi et al.
Summary of Ensuring Fair Llm Serving Amid Diverse Applications, by Redwan Ibne Seraj Khan et al.
Summary of Pianist: Learning Partially Observable World Models with Llms For Multi-agent Decision Making, by Jonathan Light et al.
Summary of Efedllm: Efficient Llm Inference Based on Federated Learning, by Shengwen Ding and Chenhui Hu
Summary of M3: Mamba-assisted Multi-circuit Optimization Via Mbrl with Effective Scheduling, by Youngmin Oh et al.
Summary of Binary Search with Distributional Predictions, by Michael Dinitz et al.
Summary of Predicting Emergent Capabilities by Finetuning, By Charlie Snell et al.
Summary of Vicon: a Foundation Model For Multi-physics Fluid Dynamics Via Vision In-context Operator Networks, by Yadi Cao et al.
Summary of Soft-transformers For Continual Learning, by Haeyong Kang et al.
Summary of Boosting 3d Object Generation Through Pbr Materials, by Yitong Wang et al.
Summary of Cautious Optimizers: Improving Training with One Line Of Code, by Kaizhao Liang et al.
Summary of Exploring the Generalization Capabilities Of Aid-based Bi-level Optimization, by Congliang Chen et al.
Summary of Very Basics Of Tensors with Graphical Notations: Unfolding, Calculations, and Decompositions, by Tatsuya Yokota
Summary of Blendserve: Optimizing Offline Inference For Auto-regressive Large Models with Resource-aware Batching, by Yilong Zhao et al.
Summary of Ldacp: Long-delayed Ad Conversions Prediction Model For Bidding Strategy, by Peng Cui (1) et al.
Summary of Fun-ad: Fully Unsupervised Learning For Anomaly Detection with Noisy Training Data, by Jiin Im et al.