Paper List

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Summary of Data Readiness For Ai: a 360-degree Survey, by Kaveen Hiniduma et al.
Summary of Self-labeling in Multivariate Causality and Quantification For Adaptive Machine Learning, by Yutian Ren et al.
Summary of Label Propagation Training Schemes For Physics-informed Neural Networks and Gaussian Processes, by Ming Zhong et al.
Summary of Brusleattack: a Query-efficient Score-based Black-box Sparse Adversarial Attack, by Viet Quoc Vo et al.
Summary of Stochastic Online Optimization For Cyber-physical and Robotic Systems, by Hao Ma et al.
Summary of Hoeg: a New Approach For Object-centric Predictive Process Monitoring, by Tim K. Smit et al.
Summary of Iterative Refinement Strategy For Automated Data Labeling: Facial Landmark Diagnosis in Medical Imaging, by Yu-hsi Chen
Summary of Certified Peftsmoothing: Parameter-efficient Fine-tuning with Randomized Smoothing, by Chengyan Fu and Wenjie Wang
Summary of What Are the Odds? Improving the Foundations Of Statistical Model Checking, by Tobias Meggendorfer et al.
Summary of Physics Of Language Models: Part 3.3, Knowledge Capacity Scaling Laws, by Zeyuan Allen-zhu and Yuanzhi Li
Summary of A Parameter-free Clustering Algorithm For Missing Datasets, by Qi Li et al.
Summary of Tree Search-based Policy Optimization Under Stochastic Execution Delay, by David Valensi et al.
Summary of Hammr: Hierarchical Multimodal React Agents For Generic Vqa, by Lluis Castrejon et al.
Summary of Wavecatboost For Probabilistic Forecasting Of Regional Air Quality Data, by Jintu Borah et al.
Summary of On Computational Modeling Of Sleep-wake Cycle, by Xin Li
Summary of Taming Transformers For Realistic Lidar Point Cloud Generation, by Hamed Haghighi et al.
Summary of Investigating the Effectiveness Of Cross-attention to Unlock Zero-shot Editing Of Text-to-video Diffusion Models, by Saman Motamed and Wouter Van Gansbeke and Luc Van Gool
Summary of Opsd: An Offensive Persian Social Media Dataset and Its Baseline Evaluations, by Mehran Safayani et al.
Summary of Evaluating Interventional Reasoning Capabilities Of Large Language Models, by Tejas Kasetty et al.
Summary of On the Convergence Of Continual Learning with Adaptive Methods, by Seungyub Han et al.
Summary of Dynamic Backtracking in Gflownets: Enhancing Decision Steps with Reward-dependent Adjustment Mechanisms, by Shuai Guo et al.
Summary of Dense Training, Sparse Inference: Rethinking Training Of Mixture-of-experts Language Models, by Bowen Pan et al.
Summary of Drop: Distributionally Robust Data Pruning, by Artem Vysogorets et al.
Summary of Test-time Training For Depression Detection, by Sri Harsha Dumpala et al.
Summary of A Structure-guided Gauss-newton Method For Shallow Relu Neural Network, by Zhiqiang Cai et al.
Summary of Dream: Improving Video-text Retrieval Through Relevance-based Augmentation Using Large Foundation Models, by Yimu Wang et al.
Summary of A Note on Lora, by Vlad Fomenko et al.
Summary of Seer-moe: Sparse Expert Efficiency Through Regularization For Mixture-of-experts, by Alexandre Muzio et al.
Summary of Active Test-time Adaptation: Theoretical Analyses and An Algorithm, by Shurui Gui et al.
Summary of Importance Of Realism in Procedurally-generated Synthetic Images For Deep Learning: Case Studies in Maize and Canola, by Nazifa Azam Khan et al.
Summary of How Bad Is Training on Synthetic Data? a Statistical Analysis Of Language Model Collapse, by Mohamed El Amine Seddik et al.
Summary of Plug and Play with Prompts: a Prompt Tuning Approach For Controlling Text Generation, by Rohan Deepak Ajwani et al.
Summary of Semantic Stealth: Adversarial Text Attacks on Nlp Using Several Methods, by Roopkatha Dey et al.
Summary of Enhancing Clinical Efficiency Through Llm: Discharge Note Generation For Cardiac Patients, by Hyoje Jung et al.
Summary of On the Price Of Exact Truthfulness in Incentive-compatible Online Learning with Bandit Feedback: a Regret Lower Bound For Wsu-ux, by Ali Mortazavi et al.
Summary of Dlora: Distributed Parameter-efficient Fine-tuning Solution For Large Language Model, by Chao Gao and Sai Qian Zhang
Summary of Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations, By Tham Yik Foong et al.
Summary of Progressive Alignment with Vlm-llm Feature to Augment Defect Classification For the Ase Dataset, by Chih-chung Hsu et al.
Summary of Atfnet: Adaptive Time-frequency Ensembled Network For Long-term Time Series Forecasting, by Hengyu Ye et al.
Summary of Bidirectional Long-range Parser For Sequential Data Understanding, by George Leotescu et al.
Summary of Out-of-distribution Data: An Acquaintance Of Adversarial Examples — a Survey, by Naveen Karunanayake et al.
Summary of Lightff: Lightweight Inference For Forward-forward Algorithm, by Amin Aminifar et al.
Summary of Empirical Upscaling Of Point-scale Soil Moisture Measurements For Spatial Evaluation Of Model Simulations and Satellite Retrievals, by Yi Yu et al.
Summary of Data Stream Sampling with Fuzzy Task Boundaries and Noisy Labels, by Yu-hsi Chen
Summary of Graph Neural Networks For Binary Programming, by Moshe Eliasof et al.
Summary of Dl-ewf: Deep Learning Empowering Women’s Fashion with Grounded-segment-anything Segmentation For Body Shape Classification, by Fatemeh Asghari et al.
Summary of Timegpt in Load Forecasting: a Large Time Series Model Perspective, by Wenlong Liao et al.
Summary of Regularized Conditional Diffusion Model For Multi-task Preference Alignment, by Xudong Yu et al.
Summary of Online Learning Under Haphazard Input Conditions: a Comprehensive Review and Analysis, by Rohit Agarwal et al.
Summary of The Sample Complexity Of Gradient Descent in Stochastic Convex Optimization, by Roi Livni
Summary of Fuzzy K-means Clustering Without Cluster Centroids, by Yichen Bao et al.
Summary of Chiplet Placement Order Exploration Based on Learning to Rank with Graph Representation, by Zhihui Deng et al.
Summary of Temporal Generalization Estimation in Evolving Graphs, by Bin Lu et al.
Summary of How to Characterize Imprecision in Multi-view Clustering?, by Jinyi Xu et al.
Summary of Adapting Llms For Efficient Context Processing Through Soft Prompt Compression, by Cangqing Wang et al.
Summary of Shortcut-connected Expert Parallelism For Accelerating Mixture-of-experts, by Weilin Cai et al.
Summary of Dinobloom: a Foundation Model For Generalizable Cell Embeddings in Hematology, by Valentin Koch et al.
Summary of Optimizing Privacy and Utility Tradeoffs For Group Interests Through Harmonization, by Bishwas Mandal et al.
Summary of Initial Exploration Of Zero-shot Privacy Utility Tradeoffs in Tabular Data Using Gpt-4, by Bishwas Mandal et al.
Summary of Skill Transfer and Discovery For Sim-to-real Learning: a Representation-based Viewpoint, by Haitong Ma et al.
Summary of Percentile Criterion Optimization in Offline Reinforcement Learning, by Elita A. Lobo et al.
Summary of Timecsl: Unsupervised Contrastive Learning Of General Shapelets For Explorable Time Series Analysis, by Zhiyu Liang et al.
Summary of A Robust Assessment For Invariant Representations, by Wenlu Tang et al.
Summary of Domain Generalisation Via Imprecise Learning, by Anurag Singh et al.
Summary of Phylolm : Inferring the Phylogeny Of Large Language Models and Predicting Their Performances in Benchmarks, by Nicolas Yax et al.
Summary of Compositional Conservatism: a Transductive Approach in Offline Reinforcement Learning, by Yeda Song et al.
Summary of Automatic Gradient Estimation For Calibrating Crowd Models with Discrete Decision Making, by Philipp Andelfinger et al.
Summary of Predictive Modeling For Breast Cancer Classification in the Context Of Bangladeshi Patients: a Supervised Machine Learning Approach with Explainable Ai, by Taminul Islam et al.
Summary of Multicalibration For Confidence Scoring in Llms, by Gianluca Detommaso et al.
Summary of Z-splat: Z-axis Gaussian Splatting For Camera-sonar Fusion, by Ziyuan Qu et al.
Summary of The Identification and Categorization Of Anemia Through Artificial Neural Networks: a Comparative Analysis Of Three Models, by Mohammed A. A. Elmaleeh
Summary of Data Poisoning Attacks on Off-policy Policy Evaluation Methods, by Elita Lobo et al.
Summary of Protoal: Interpretable Deep Active Learning with Prototypes For Medical Imaging, by Iury B. De A. Santos et al.
Summary of What Happens When Small Is Made Smaller? Exploring the Impact Of Compression on Small Data Pretrained Language Models, by Busayo Awobade et al.
Summary of Squeezeattention: 2d Management Of Kv-cache in Llm Inference Via Layer-wise Optimal Budget, by Zihao Wang et al.
Summary of Coordinated Sparse Recovery Of Label Noise, by Yukun Yang et al.
Summary of Inference-time Rule Eraser: Fair Recognition Via Distilling and Removing Biased Rules, by Yi Zhang et al.
Summary of Mixup Domain Adaptations For Dynamic Remaining Useful Life Predictions, by Muhammad Tanzil Furqon et al.
Summary of Gradient-based Design Of Computational Granular Crystals, by Atoosa Parsa et al.
Summary of Contextual Chart Generation For Cyber Deception, by David D. Nguyen et al.
Summary of On the Learnability Of Out-of-distribution Detection, by Zhen Fang et al.
Summary of Demystifying Lazy Training Of Neural Networks From a Macroscopic Viewpoint, by Yuqing Li et al.
Summary of Signal-noise Separation Using Unsupervised Reservoir Computing, by Jaesung Choi and Pilwon Kim
Summary of Demand Balancing in Primal-dual Optimization For Blind Network Revenue Management, by Sentao Miao et al.
Summary of Delta: Decoupling Long-tailed Online Continual Learning, by Siddeshwar Raghavan et al.
Summary of Hyperparameter Optimization For Secureboost Via Constrained Multi-objective Federated Learning, by Yan Kang et al.
Summary of Bayesian Inference For Consistent Predictions in Overparameterized Nonlinear Regression, by Tomoya Wakayama
Summary of Distributed No-regret Learning For Multi-stage Systems with End-to-end Bandit Feedback, by I-hong Hou
Summary of Iitk at Semeval-2024 Task 2: Exploring the Capabilities Of Llms For Safe Biomedical Natural Language Inference For Clinical Trials, by Shreyasi Mandal and Ashutosh Modi
Summary of Iitk at Semeval-2024 Task 1: Contrastive Learning and Autoencoders For Semantic Textual Relatedness in Multilingual Texts, by Udvas Basak and Rajarshi Dutta and Shivam Pandey and Ashutosh Modi
Summary of Iitk at Semeval-2024 Task 4: Hierarchical Embeddings For Detection Of Persuasion Techniques in Memes, by Shreenaga Chikoti and Shrey Mehta and Ashutosh Modi
Summary of Q-peft: Query-dependent Parameter Efficient Fine-tuning For Text Reranking with Large Language Models, by Zhiyuan Peng et al.
Summary of Iitk at Semeval-2024 Task 10: Who Is the Speaker? Improving Emotion Recognition and Flip Reasoning in Conversations Via Speaker Embeddings, by Shubham Patel and Divyaksh Shukla and Ashutosh Modi
Summary of Spectral Gnn Via Two-dimensional (2-d) Graph Convolution, by Guoming Li et al.
Summary of Impact Of Fairness Regulations on Institutions’ Policies and Population Qualifications, by Hamidreza Montaseri et al.
Summary of To Cool or Not to Cool? Temperature Network Meets Large Foundation Models Via Dro, by Zi-hao Qiu et al.
Summary of Spectral Graph Pruning Against Over-squashing and Over-smoothing, by Adarsh Jamadandi et al.
Summary of Vanishing Variance Problem in Fully Decentralized Neural-network Systems, by Yongding Tian et al.
Summary of An Automated Machine Learning Approach to Inkjet Printed Component Analysis: a Step Toward Smart Additive Manufacturing, by Abhishek Sahu et al.
Summary of Hypertts: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks, by Yingting Li et al.