Paper List

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Summary of Differentiable Search For Finding Optimal Quantization Strategy, by Lianqiang Li et al.
Summary of An Inclusive Review on Deep Learning Techniques and Their Scope in Handwriting Recognition, by Sukhdeep Singh et al.
Summary of Enhanced Cooperative Perception For Autonomous Vehicles Using Imperfect Communication, by Ahmad Sarlak et al.
Summary of Onnxpruner: Onnx-based General Model Pruning Adapter, by Dongdong Ren et al.
Summary of 3d-csad: Untrained 3d Anomaly Detection For Complex Manufacturing Surfaces, by Xuanming Cao et al.
Summary of Generating Synthetic Satellite Imagery with Deep-learning Text-to-image Models — Technical Challenges and Implications For Monitoring and Verification, by Tuong Vy Nguyen and Alexander Glaser and Felix Biessmann
Summary of An Overview Of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization, by Minshuo Chen et al.
Summary of Annoctr: a Dataset For Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports, by Lukas Lange et al.
Summary of Discourse-aware In-context Learning For Temporal Expression Normalization, by Akash Kumar Gautam et al.
Summary of Sketch-plan-generalize: Continual Few-shot Learning Of Inductively Generalizable Spatial Concepts, by Namasivayam Kalithasan et al.
Summary of Nostra Domina at Evalatin 2024: Improving Latin Polarity Detection Through Data Augmentation, by Stephen Bothwell et al.
Summary of Post-hoc Reversal: Are We Selecting Models Prematurely?, by Rishabh Ranjan et al.
Summary of Calibration Of Continual Learning Models, by Lanpei Li et al.
Summary of Streamlined Photoacoustic Image Processing with Foundation Models: a Training-free Solution, by Handi Deng et al.
Summary of On the Sample Efficiency Of Abstractions and Potential-based Reward Shaping in Reinforcement Learning, by Giuseppe Canonaco et al.
Summary of Recurrentgemma: Moving Past Transformers For Efficient Open Language Models, by Aleksandar Botev et al.
Summary of On Training Data Influence Of Gpt Models, by Yekun Chai et al.
Summary of Overparameterized Multiple Linear Regression As Hyper-curve Fitting, by E. Atza et al.
Summary of Inferring Change Points in High-dimensional Regression Via Approximate Message Passing, by Gabriel Arpino et al.
Summary of Anomaly Detection in Power Grids Via Context-agnostic Learning, by Sangwoo Park and Amritanshu Pandey
Summary of Low-rank Adaptation For Spatio-temporal Forecasting, by Weilin Ruan et al.
Summary of Lavy: Vietnamese Multimodal Large Language Model, by Chi Tran and Huong Le Thanh
Summary of A Parsimonious Setup For Streamflow Forecasting Using Cnn-lstm, by Sudan Pokharel et al.
Summary of Towards Faster Training Of Diffusion Models: An Inspiration Of a Consistency Phenomenon, by Tianshuo Xu et al.
Summary of Interactive Prompt Debugging with Sequence Salience, by Ian Tenney et al.
Summary of Generative Probabilistic Planning For Optimizing Supply Chain Networks, by Hyung-il Ahn et al.
Summary of Remembering Transformer For Continual Learning, by Yuwei Sun et al.
Summary of Enhancing Policy Gradient with the Polyak Step-size Adaption, by Yunxiang Li et al.
Summary of Gnn-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks, by Hyung-il Ahn et al.
Summary of Bayesian Federated Model Compression For Communication and Computation Efficiency, by Chengyu Xia et al.
Summary of Differentially Private Reinforcement Learning with Self-play, by Dan Qiao et al.
Summary of Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking, by Dipika Jha et al.
Summary of Generating Comprehensive Lithium Battery Charging Data with Generative Ai, by Lidang Jiang et al.
Summary of Diffusion Posterior Sampling For Simulation-based Inference in Tall Data Settings, by Julia Linhart et al.
Summary of Weakly-supervised Learning Via Multi-lateral Decoder Branching For Tool Segmentation in Robot-assisted Cardiovascular Catheterization, by Olatunji Mumini Omisore et al.
Summary of Attention Based End to End Network For Offline Writer Identification on Word Level Data, by Vineet Kumar et al.
Summary of Pinnacle: Pinn Adaptive Collocation and Experimental Points Selection, by Gregory Kang Ruey Lau et al.
Summary of Robust Performance Metrics For Imbalanced Classification Problems, by Hajo Holzmann and Bernhard Klar
Summary of Point Cloud Geometry Scalable Coding with a Quality-conditioned Latents Probability Estimator, by Daniele Mari et al.
Summary of Flatness Improves Backbone Generalisation in Few-shot Classification, by Rui Li et al.
Summary of Realistic Continual Learning Approach Using Pre-trained Models, by Nadia Nasri et al.
Summary of Progressive Semantic-guided Vision Transformer For Zero-shot Learning, by Shiming Chen et al.
Summary of Monte Carlo Tree Search with Boltzmann Exploration, by Michael Painter et al.
Summary of Researchagent: Iterative Research Idea Generation Over Scientific Literature with Large Language Models, by Jinheon Baek et al.
Summary of Realmdreamer: Text-driven 3d Scene Generation with Inpainting and Depth Diffusion, by Jaidev Shriram et al.
Summary of Gooddrag: Towards Good Practices For Drag Editing with Diffusion Models, by Zewei Zhang et al.
Summary of Lightweight Deep Learning For Resource-constrained Environments: a Survey, by Hou-i Liu et al.
Summary of Generative Resident Separation and Multi-label Classification For Multi-person Activity Recognition, by Xi Chen (lig) et al.
Summary of Sequential Decision Making with Expert Demonstrations Under Unobserved Heterogeneity, by Vahid Balazadeh et al.
Summary of Spatial Transfer Learning For Estimating Pm2.5 in Data-poor Regions, by Shrey Gupta et al.
Summary of A Transformer-based Model For the Prediction Of Human Gaze Behavior on Videos, by Suleyman Ozdel et al.
Summary of Gaze-guided Graph Neural Network For Action Anticipation Conditioned on Intention, by Suleyman Ozdel et al.
Summary of Addressing the Abstraction and Reasoning Corpus Via Procedural Example Generation, by Michael Hodel
Summary of Gradient Networks, by Shreyas Chaudhari et al.
Summary of Gansemble For Small and Imbalanced Data Sets: a Baseline For Synthetic Microplastics Data, by Daniel Platnick et al.
Summary of Deep Generative Sampling in the Dual Divergence Space: a Data-efficient & Interpretative Approach For Generative Ai, by Sahil Garg and Anderson Schneider and Anant Raj and Kashif Rasul and Yuriy Nevmyvaka and Sneihil Gopal and Amit Dhurandhar and Guillermo Cecchi and Irina Rish
Summary of Global Versus Local: Evaluating Alexnet Architectures For Tropical Cyclone Intensity Estimation, by Vikas Dwivedi
Summary of Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling, by Sourajit Saha et al.
Summary of Data-driven Portfolio Management For Motion Pictures Industry: a New Data-driven Optimization Methodology Using a Large Language Model As the Expert, by Mohammad Alipour-vaezi et al.
Summary of Graph Attention Network For Lane-wise and Topology-invariant Intersection Traffic Simulation, by Nooshin Yousefzadeh et al.
Summary of Representation Learning Of Tangled Key-value Sequence Data For Early Classification, by Tao Duan et al.
Summary of Offline Reinforcement Learning with Domain-unlabeled Data, by Soichiro Nishimori et al.
Summary of Laissez-faire Harms: Algorithmic Biases in Generative Language Models, by Evan Shieh et al.
Summary of Characterizing the Influence Of Topology on Graph Learning Tasks, by Kailong Wu et al.
Summary of Quiver Laplacians and Feature Selection, by Otto Sumray et al.
Summary of A Mathematical Theory For Learning Semantic Languages by Abstract Learners, By Kuo-yu Liao et al.
Summary of Comparison Of Decision Trees with Local Interpretable Model-agnostic Explanations (lime) Technique and Multi-linear Regression For Explaining Support Vector Regression Model in Terms Of Root Mean Square Error (rmse) Values, by Amit Thombre
Summary of Towards Learning Stochastic Population Models by Gradient Descent, By Justin N. Kreikemeyer et al.
Summary of Meta4xnli: a Crosslingual Parallel Corpus For Metaphor Detection and Interpretation, by Elisa Sanchez-bayona et al.
Summary of Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study, by Alessandro Stolfo
Summary of Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils Of Overfitting, by Nathaniel Dean et al.
Summary of Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?, by Mingyu Jin et al.
Summary of Latim: Longitudinal Representation Learning in Continuous-time Models to Predict Disease Progression, by Rachid Zeghlache et al.
Summary of Rethinking Out-of-distribution Detection For Reinforcement Learning: Advancing Methods For Evaluation and Detection, by Linas Nasvytis et al.
Summary of Graph Chain-of-thought: Augmenting Large Language Models by Reasoning on Graphs, By Bowen Jin et al.
Summary of Continuous Language Model Interpolation For Dynamic and Controllable Text Generation, by Sara Kangaslahti and David Alvarez-melis
Summary of What Needs to Go Right For An Induction Head? a Mechanistic Study Of In-context Learning Circuits and Their Formation, by Aaditya K. Singh et al.
Summary of How Consistent Are Clinicians? Evaluating the Predictability Of Sepsis Disease Progression with Dynamics Models, by Unnseo Park et al.
Summary of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention, by Tsendsuren Munkhdalai et al.
Summary of A Gauss-newton Approach For Min-max Optimization in Generative Adversarial Networks, by Neel Mishra et al.
Summary of Scaling Laws For Data Filtering — Data Curation Cannot Be Compute Agnostic, by Sachin Goyal et al.
Summary of Vn-egnn: E(3)-equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification, by Florian Sestak et al.
Summary of A Foundation Model For Zero-shot Logical Query Reasoning, by Mikhail Galkin et al.
Summary of Toward a Better Understanding Of Fourier Neural Operators From a Spectral Perspective, by Shaoxiang Qin et al.
Summary of Disguised Copyright Infringement Of Latent Diffusion Models, by Yiwei Lu et al.
Summary of A Copula Graphical Model For Multi-attribute Data Using Optimal Transport, by Qi Zhang et al.
Summary of Cgnsde: Conditional Gaussian Neural Stochastic Differential Equation For Modeling Complex Systems and Data Assimilation, by Chuanqi Chen et al.
Summary of Crimealarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction, by Kaixi Hu et al.
Summary of Logit Calibration and Feature Contrast For Robust Federated Learning on Non-iid Data, by Yu Qiao et al.
Summary of Extracting Clean and Balanced Subset For Noisy Long-tailed Classification, by Zhuo Li et al.
Summary of Private Wasserstein Distance, by Wenqian Li et al.
Summary of Formation-controlled Dimensionality Reduction, by Taeuk Jeong et al.
Summary of Error Mitigation For Tdoa Uwb Indoor Localization Using Unsupervised Machine Learning, by Phuong Bich Duong et al.
Summary of Generalized Linear Bandits with Limited Adaptivity, by Ayush Sawarni et al.
Summary of Register Your Forests: Decision Tree Ensemble Optimization by Explicit Cpu Register Allocation, By Daniel Biebert et al.
Summary of Splatpose & Detect: Pose-agnostic 3d Anomaly Detection, by Mathis Kruse et al.
Summary of Sleepppg-net2: Deep Learning Generalization For Sleep Staging From Photoplethysmography, by Shirel Attia et al.
Summary of Superposition Prompting: Improving and Accelerating Retrieval-augmented Generation, by Thomas Merth et al.
Summary of Advancing Real-time Pandemic Forecasting Using Large Language Models: a Covid-19 Case Study, by Hongru Du et al.
Summary of The Cast Package For Training and Assessment Of Spatial Prediction Models in R, by Hanna Meyer et al.