Paper List

We recommend you use the search box as this list is very long.

Summary of Explainable Ai Needs Formal Notions Of Explanation Correctness, by Stefan Haufe et al.
Summary of Implicit Dynamical Flow Fusion (idff) For Generative Modeling, by Mohammad R. Rezaei et al.
Summary of Echoatt: Attend, Copy, Then Adjust For More Efficient Large Language Models, by Hossein Rajabzadeh et al.
Summary of On Importance Of Pruning and Distillation For Efficient Low Resource Nlp, by Aishwarya Mirashi et al.
Summary of Towards Building Efficient Sentence Bert Models Using Layer Pruning, by Anushka Shelke et al.
Summary of Component-based Sketching For Deep Relu Nets, by Di Wang et al.
Summary of Qmos: Enhancing Llms For Telecommunication with Question Masked Loss and Option Shuffling, by Blessed Guda et al.
Summary of A Distribution-aware Flow-matching For Generating Unstructured Data For Few-shot Reinforcement Learning, by Mohammad Pivezhandi et al.
Summary of On Lexical Invariance on Multisets and Graphs, by Muhan Zhang
Summary of Data-centric Nlp Backdoor Defense From the Lens Of Memorization, by Zhenting Wang et al.
Summary of Advancing Employee Behavior Analysis Through Synthetic Data: Leveraging Abms, Gans, and Statistical Models For Enhanced Organizational Efficiency, by Rakshitha Jayashankar et al.
Summary of Structure Learning Via Mutual Information, by Jeremy Nixon
Summary of Refine: Boosting Time Series Prediction Of Extreme Events by Reweighting and Fine-tuning, By Jimeng Shi et al.
Summary of Opinion Mining on Offshore Wind Energy For Environmental Engineering, by Isabele Bittencourt et al.
Summary of Sketch ‘n Solve: An Efficient Python Package For Large-scale Least Squares Using Randomized Numerical Linear Algebra, by Alex Lavaee
Summary of Unveiling Narrative Reasoning Limits Of Large Language Models with Trope in Movie Synopses, by Hung-ting Su et al.
Summary of A Competitive Baseline For Deep Learning Enhanced Data Assimilation Using Conditional Gaussian Ensemble Kalman Filtering, by Zachariah Malik et al.
Summary of Transforming Multidimensional Time Series Into Interpretable Event Sequences For Advanced Data Mining, by Xu Yan et al.
Summary of Self-supervised Audio-visual Soundscape Stylization, by Tingle Li et al.
Summary of Using Natural Language Processing to Find Indication For Burnout with Text Classification: From Online Data to Real-world Data, by Mascha Kurpicz-briki et al.
Summary of Sparse Low-ranked Self-attention Transformer For Remaining Useful Lifetime Prediction Of Optical Fiber Amplifiers, by Dominic Schneider et al.
Summary of Flat-lora: Low-rank Adaption Over a Flat Loss Landscape, by Tao Li et al.
Summary of Investigating Layer Importance in Large Language Models, by Yang Zhang et al.
Summary of High-resolution Flood Probability Mapping Using Generative Machine Learning with Large-scale Synthetic Precipitation and Inundation Data, by Lipai Huang et al.
Summary of One Model, Any Conjunctive Query: Graph Neural Networks For Answering Complex Queries Over Knowledge Graphs, by Krzysztof Olejniczak et al.
Summary of Deep Learning For Fast Segmentation and Critical Dimension Metrology & Characterization Enabling Ar/vr Design and Fabrication, by Kundan Chaudhary et al.
Summary of Chemeval: a Comprehensive Multi-level Chemical Evaluation For Large Language Models, by Yuqing Huang et al.
Summary of Boolean Product Graph Neural Networks, by Ziyan Wang et al.
Summary of Test Time Learning For Time Series Forecasting, by Panayiotis Christou et al.
Summary of Chronogan: Supervised and Embedded Generative Adversarial Networks For Time Series Generation, by Mohammadreza Eskandarinasab et al.
Summary of Mitigating Exposure Bias in Score-based Generation Of Molecular Conformations, by Sijia Wang et al.
Summary of Implicit Neural Representations For Speed-of-sound Estimation in Ultrasound, by Michal Byra et al.
Summary of Recovering Global Data Distribution Locally in Federated Learning, by Ziyu Yao
Summary of Temporally Consistent Factuality Probing For Large Language Models, by Ashutosh Bajpai et al.
Summary of One-shot World Models Using a Transformer Trained on a Synthetic Prior, by Fabio Ferreira and Moreno Schlageter and Raghu Rajan and Andre Biedenkapp and Frank Hutter
Summary of Brep Boundary and Junction Detection For Cad Reverse Engineering, by Sk Aziz Ali and Mohammad Sadil Khan and Didier Stricker
Summary of Esds: Ai-powered Early Stunting Detection and Monitoring System Using Edited Radius-smote Algorithm, by A.a. Gde Yogi Pramana et al.
Summary of Obliviate: Neutralizing Task-agnostic Backdoors Within the Parameter-efficient Fine-tuning Paradigm, by Jaehan Kim et al.
Summary of A General Framework Of the Consistency For Large Neural Networks, by Haoran Zhan et al.
Summary of Present and Future Generalization Of Synthetic Image Detectors, by Pablo Bernabeu-perez et al.
Summary of When Witnesses Defend: a Witness Graph Topological Layer For Adversarial Graph Learning, by Naheed Anjum Arafat et al.
Summary of Promptta: Prompt-driven Text Adapter For Source-free Domain Generalization, by Haoran Zhang et al.
Summary of A Survey on Large Language Model-empowered Autonomous Driving, by Yuxuan Zhu et al.
Summary of Continual Learning For Multimodal Data Fusion Of a Soft Gripper, by Nilay Kushawaha et al.
Summary of Multi-omics Data Integration For Early Diagnosis Of Hepatocellular Carcinoma (hcc) Using Machine Learning, by Annette Spooner et al.
Summary of Segment Discovery: Enhancing E-commerce Targeting, by Qiqi Li et al.
Summary of Multi-modality Conditioned Variational U-net For Field-of-view Extension in Brain Diffusion Mri, by Zhiyuan Li et al.
Summary of Unlocking Memorization in Large Language Models with Dynamic Soft Prompting, by Zhepeng Wang et al.
Summary of More Consideration For the Perceptron, by Slimane Larabi
Summary of Wormhole: Concept-aware Deep Representation Learning For Co-evolving Sequences, by Kunpeng Xu et al.
Summary of Persistent Backdoor Attacks in Continual Learning, by Zhen Guo et al.
Summary of Instruct-tuning Pretrained Causal Language Models For Ancient Greek Papyrology and Epigraphy, by Eric Cullhed
Summary of Physics-informed Variational State-space Gaussian Processes, by Oliver Hamelijnck and Arno Solin and Theodoros Damoulas
Summary of Data Distribution Shifts in (industrial) Federated Learning As a Privacy Issue, by David Brunner and Alessio Montuoro
Summary of Achieving Predictive Precision: Leveraging Lstm and Pseudo Labeling For Volvo’s Discovery Challenge at Ecml-pkdd 2024, by Carlo Metta et al.
Summary of Tabular Data Generation Using Binary Diffusion, by Vitaliy Kinakh et al.
Summary of A Multi-llm Debiasing Framework, by Deonna M. Owens et al.
Summary of Causal Feature Selection Method For Contextual Multi-armed Bandits in Recommender System, by Zhenyu Zhao and Yexi Jiang
Summary of Learning to Play Video Games with Intuitive Physics Priors, by Abhishek Jaiswal and Nisheeth Srivastava
Summary of High-dimensional Learning Of Narrow Neural Networks, by Hugo Cui
Summary of One Model Is All You Need: Byt5-sanskrit, a Unified Model For Sanskrit Nlp Tasks, by Sebastian Nehrdich et al.
Summary of On-device Collaborative Language Modeling Via a Mixture Of Generalists and Specialists, by Dongyang Fan et al.
Summary of Learning Recourse Costs From Pairwise Feature Comparisons, by Kaivalya Rawal and Himabindu Lakkaraju
Summary of Neural Filtering For Neural Network-based Models Of Dynamic Systems, by Parham Oveissi et al.
Summary of Adaptive Mixture Importance Sampling For Automated Ads Auction Tuning, by Yimeng Jia et al.
Summary of Analysis Of Gene Regulatory Networks From Gene Expression Using Graph Neural Networks, by Hakan T. Otal et al.
Summary of Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networks, by Vivak Patel et al.
Summary of Difffluid: Plain Diffusion Models Are Effective Predictors Of Flow Dynamics, by Dongyu Luo et al.
Summary of A Generative Framework For Predictive Modeling Of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-optimized Graph Neural Network, by Julian Carvajal Rico et al.
Summary of The Fix Benchmark: Extracting Features Interpretable to Experts, by Helen Jin et al.
Summary of The Impact Of Large Language Models in Academia: From Writing to Speaking, by Mingmeng Geng et al.
Summary of Debiasing Text Safety Classifiers Through a Fairness-aware Ensemble, by Olivia Sturman et al.
Summary of You Can Remove Gpt2’s Layernorm by Fine-tuning, By Stefan Heimersheim
Summary of Sentiment Informed Sentence Bert-ensemble Algorithm For Depression Detection, by Bayode Ogunleye et al.
Summary of Introducing Memo: a Multimodal Dataset For Memory Modelling in Multiparty Conversations, by Maria Tsfasman et al.
Summary of Logically Consistent Language Models Via Neuro-symbolic Integration, by Diego Calanzone et al.
Summary of Multilingual Dyadic Interaction Corpus Noxi+j: Toward Understanding Asian-european Non-verbal Cultural Characteristics and Their Influences on Engagement, by Marius Funk et al.
Summary of Enhancing Large Language Models with Domain-specific Knowledge: the Case in Topological Materials, by Huangchao Xu et al.
Summary of Machine Translation with Large Language Models: Decoder Only Vs. Encoder-decoder, by Abhinav P.m. et al.
Summary of Context-aware Membership Inference Attacks Against Pre-trained Large Language Models, by Hongyan Chang et al.
Summary of A Constrained Optimization Approach to Improve Robustness Of Neural Networks, by Shudian Zhao et al.
Summary of Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus, by Bangchao Deng et al.
Summary of Learning to Generalize Unseen Domains Via Multi-source Meta Learning For Text Classification, by Yuxuan Hu et al.
Summary of Occupancy-based Dual Contouring, by Jisung Hwang et al.
Summary of State Space Models, Emergence, and Ergodicity: How Many Parameters Are Needed For Stable Predictions?, by Ingvar Ziemann et al.
Summary of A User Study on Contrastive Explanations For Multi-effector Temporal Planning with Non-stationary Costs, by Xiaowei Liu et al.
Summary of Noise-robust and Resource-efficient Admm-based Federated Learning, by Ehsan Lari et al.
Summary of Global Outlier Detection in a Federated Learning Setting with Isolation Forest, by Daniele Malpetti and Laura Azzimonti
Summary of Higher-order Message Passing For Glycan Representation Learning, by Roman Joeres et al.
Summary of Deterministic Versus Stochastic Dynamical Classifiers: Opposing Random Adversarial Attacks with Noise, by Lorenzo Chicchi et al.
Summary of Alternate Preference Optimization For Unlearning Factual Knowledge in Large Language Models, by Anmol Mekala et al.
Summary of Graph Similarity Regularized Softmax For Semi-supervised Node Classification, by Yiming Yang et al.
Summary of First Place Solution to the Multiple-choice Video Qa Track Of the Second Perception Test Challenge, by Yingzhe Peng et al.
Summary of Certified Adversarial Robustness Via Partition-based Randomized Smoothing, by Hossein Goli et al.
Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models, by Keyu Chen et al.
Summary of A Preliminary Study on Continual Learning in Computer Vision Using Kolmogorov-arnold Networks, by Alessandro Cacciatore et al.
Summary of Neurosymbolic Conformal Classification, by Arthur Ledaguenel et al.
Summary of Towards Child-inclusive Clinical Video Understanding For Autism Spectrum Disorder, by Aditya Kommineni et al.
Summary of Prithvi Wxc: Foundation Model For Weather and Climate, by Johannes Schmude et al.
Summary of Benchmarking Reliability Of Deep Learning Models For Pathological Gait Classification, by Abhishek Jaiswal and Nisheeth Srivastava