Paper List

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

Summary of Machine Learning in Proton Exchange Membrane Water Electrolysis — Part I: a Knowledge-integrated Framework, by Xia Chen et al.
Summary of Rl For Consistency Models: Faster Reward Guided Text-to-image Generation, by Owen Oertell et al.
Summary of Machine Learning Augmented Diagnostic Testing to Identify Sources Of Variability in Test Performance, by Christopher J. Banks et al.
Summary of Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying, by Rohan Biswas et al.
Summary of Factual: a Novel Framework For Contrastive Learning Based Robust Sar Image Classification, by Xu Wang et al.
Summary of Knowledge-based Convolutional Neural Network For the Simulation and Prediction Of Two-phase Darcy Flows, by Zakaria Elabid et al.
Summary of On the Surprising Efficacy Of Distillation As An Alternative to Pre-training Small Models, by Sean Farhat et al.
Summary of Cryptographic Hardness Of Score Estimation, by Min Jae Song
Summary of Gaussian-smoothed Sliced Probability Divergences, by Mokhtar Z. Alaya (lmac) et al.
Summary of Learning-to-optimize with Pac-bayesian Guarantees: Theoretical Considerations and Practical Implementation, by Michael Sucker et al.
Summary of Silofuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models, by Aditya Shankar et al.
Summary of Optimistic Online Non-stochastic Control Via Ftrl, by Naram Mhaisen and George Iosifidis
Summary of Exploring Lightweight Federated Learning For Distributed Load Forecasting, by Abhishek Duttagupta et al.
Summary of Compiled: Deep Metric Learning For Defect Classification Of Threaded Pipe Connections Using Multichannel Partially Observed Functional Data, by Juan Du et al.
Summary of Knowledge Distillation-based Model Extraction Attack Using Gan-based Private Counterfactual Explanations, by Fatima Ezzeddine et al.
Summary of Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks, by Lei Zhang et al.
Summary of React: Revealing Evolutionary Action Consequence Trajectories For Interpretable Reinforcement Learning, by Philipp Altmann et al.
Summary of Graph Neural Networks For Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting Of Pumped-storage Hydroelectricity, by Raffael Theiler et al.
Summary of On the Theoretical Expressive Power and the Design Space Of Higher-order Graph Transformers, by Cai Zhou et al.
Summary of Dida: Denoised Imitation Learning Based on Domain Adaptation, by Kaichen Huang et al.
Summary of Red Teaming Gpt-4v: Are Gpt-4v Safe Against Uni/multi-modal Jailbreak Attacks?, by Shuo Chen et al.
Summary of Accurate Estimation Of Feature Importance Faithfulness For Tree Models, by Mateusz Gajewski et al.
Summary of Learning From Simplicial Data Based on Random Walks and 1d Convolutions, by Florian Frantzen et al.
Summary of Benchmarking Chatgpt on Algorithmic Reasoning, by Sean Mcleish et al.
Summary of Anova-boosting For Random Fourier Features, by Daniel Potts and Laura Weidensager
Summary of The Artificial Intelligence Ontology: Llm-assisted Construction Of Ai Concept Hierarchies, by Marcin P. Joachimiak et al.
Summary of Data-driven Goal Recognition Design For General Behavioral Agents, by Robert Kasumba et al.
Summary of Automatic Extraction Of Linguistic Description From Fuzzy Rule Base, by Krzysztof Siminski et al.
Summary of First-order Pdes For Graph Neural Networks: Advection and Burgers Equation Models, by Yifan Qu et al.
Summary of Machine Learning and Data Analysis Using Posets: a Survey, by Arnauld Mesinga Mwafise
Summary of Rethinking Teacher-student Curriculum Learning Through the Cooperative Mechanics Of Experience, by Manfred Diaz and Liam Paull and Andrea Tacchetti
Summary of Robust Federated Learning For Wireless Networks: a Demonstration with Channel Estimation, by Zexin Fang et al.
Summary of Exploring the Trade-off Between Model Performance and Explanation Plausibility Of Text Classifiers Using Human Rationales, by Lucas E. Resck et al.
Summary of Methodology For Interpretable Reinforcement Learning For Optimizing Mechanical Ventilation, by Joo Seung Lee et al.
Summary of Composite Bayesian Optimization in Function Spaces Using Neon — Neural Epistemic Operator Networks, by Leonardo Ferreira Guilhoto et al.
Summary of Deep Learning-based Weather-related Power Outage Prediction with Socio-economic and Power Infrastructure Data, by Xuesong Wang et al.
Summary of Theoretical and Empirical Insights Into the Origins Of Degree Bias in Graph Neural Networks, by Arjun Subramonian et al.
Summary of Information-theoretic Generalization Bounds For Deep Neural Networks, by Haiyun He et al.
Summary of Uncertainty in Language Models: Assessment Through Rank-calibration, by Xinmeng Huang et al.
Summary of Goldfish: An Efficient Federated Unlearning Framework, by Houzhe Wang et al.
Summary of Future-proofing Class-incremental Learning, by Quentin Jodelet et al.
Summary of Himal: a Multimodal Hierarchical Multi-task Auxiliary Learning Framework For Predicting and Explaining Alzheimer Disease Progression, by Sayantan Kumar et al.
Summary of Convergence Conditions Of Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space with Non-stationary Data, by Xiwei Zhang and Tao Li
Summary of Enabling Clean Energy Resilience with Machine Learning-empowered Underground Hydrogen Storage, by Alvaro Carbonero et al.
Summary of Comment on “machine Learning Conservation Laws From Differential Equations”, by Michael F. Zimmer
Summary of Deit-lt Distillation Strikes Back For Vision Transformer Training on Long-tailed Datasets, by Harsh Rangwani et al.
Summary of Aloha: a New Measure For Hallucination in Captioning Models, by Suzanne Petryk et al.
Summary of Greedllama: Performance Of Financial Value-aligned Large Language Models in Moral Reasoning, by Jeffy Yu et al.
Summary of A High Order Solver For Signature Kernels, by Maud Lemercier and Terry Lyons
Summary of Knowhalu: Hallucination Detection Via Multi-form Knowledge Based Factual Checking, by Jiawei Zhang et al.
Summary of Min-k%++: Improved Baseline For Detecting Pre-training Data From Large Language Models, by Jingyang Zhang et al.
Summary of Towards Explainable Traffic Flow Prediction with Large Language Models, by Xusen Guo et al.
Summary of Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles, by Leonardo Arrighi et al.
Summary of Learning in Convolutional Neural Networks Accelerated by Transfer Entropy, By Adrian Moldovan et al.
Summary of Foundation Models For Structural Health Monitoring, by Luca Benfenati et al.
Summary of Optimizing the Deployment Of Tiny Transformers on Low-power Mcus, by Victor J.b. Jung et al.
Summary of Dnn Memory Footprint Reduction Via Post-training Intra-layer Multi-precision Quantization, by Behnam Ghavami et al.
Summary of The Satml ’24 Cnn Interpretability Competition: New Innovations For Concept-level Interpretability, by Stephen Casper et al.
Summary of Deep Generative Models Through the Lens Of the Manifold Hypothesis: a Survey and New Connections, by Gabriel Loaiza-ganem et al.
Summary of Pissa: Principal Singular Values and Singular Vectors Adaptation Of Large Language Models, by Fanxu Meng et al.
Summary of Universal Functional Regression with Neural Operator Flows, by Yaozhong Shi et al.
Summary of Spectral Clustering in Convex and Constrained Settings, by Swarup Ranjan Behera and Vijaya V. Saradhi
Summary of Bcamirs at Semeval-2024 Task 4: Beyond Words: a Multimodal and Multilingual Exploration Of Persuasion in Memes, by Amirhossein Abaskohi et al.
Summary of Model-based Reinforcement Learning For Parameterized Action Spaces, by Renhao Zhang et al.
Summary of Cross-architecture Transfer Learning For Linear-cost Inference Transformers, by Sehyun Choi
Summary of Automatic Prompt Selection For Large Language Models, by Viet-tung Do et al.
Summary of Can We Understand Plasticity Through Neural Collapse?, by Guglielmo Bonifazi et al.
Summary of On-line Conformalized Neural Networks Ensembles For Probabilistic Forecasting Of Day-ahead Electricity Prices, by Alessandro Brusaferri et al.
Summary of Harnessing the Power Of Large Vision Language Models For Synthetic Image Detection, by Mamadou Keita et al.
Summary of Continual Learning Of Numerous Tasks From Long-tail Distributions, by Liwei Kang et al.
Summary of Unsupervised Occupancy Learning From Sparse Point Cloud, by Amine Ouasfi and Adnane Boukhayma
Summary of Aqua — Combining Experts’ and Non-experts’ Views to Assess Deliberation Quality in Online Discussions Using Llms, by Maike Behrendt et al.
Summary of Domain Generalization Through Meta-learning: a Survey, by Arsham Gholamzadeh Khoee et al.
Summary of Generative-enhanced Heterogeneous Graph Contrastive Learning, by Yu Wang et al.
Summary of Conifer: Improving Complex Constrained Instruction-following Ability Of Large Language Models, by Haoran Sun and Lixin Liu and Junjie Li and Fengyu Wang and Baohua Dong and Ran Lin and Ruohui Huang
Summary of Badam: a Memory Efficient Full Parameter Optimization Method For Large Language Models, by Qijun Luo et al.
Summary of Toward Inference-optimal Mixture-of-expert Large Language Models, by Longfei Yun et al.
Summary of Tsa on Autopilot: Self-tuning Self-supervised Time Series Anomaly Detection, by Boje Deforce et al.
Summary of Guarantees Of Confidentiality Via Hammersley-chapman-robbins Bounds, by Kamalika Chaudhuri et al.
Summary of Human Activity Recognition Using Smartphones, by Mayur Sonawane et al.
Summary of Gaussian Process Regression with Soft Inequality and Monotonicity Constraints, by Didem Kochan and Xiu Yang
Summary of On the Scalability Of Diffusion-based Text-to-image Generation, by Hao Li et al.
Summary of Linear Attention Sequence Parallelism, by Weigao Sun et al.
Summary of Modno: Multi Operator Learning with Distributed Neural Operators, by Zecheng Zhang
Summary of Task Agnostic Architecture For Algorithm Induction Via Implicit Composition, by Sahil J. Sindhi et al.
Summary of Phonologybench: Evaluating Phonological Skills Of Large Language Models, by Ashima Suvarna et al.
Summary of On the Efficiency and Robustness Of Vibration-based Foundation Models For Iot Sensing: a Case Study, by Tomoyoshi Kimura et al.
Summary of Utebc-nlp at Semeval-2024 Task 9: Can Llms Be Lateral Thinkers?, by Pouya Sadeghi and Amirhossein Abaskohi and Yadollah Yaghoobzadeh
Summary of Fedselect: Personalized Federated Learning with Customized Selection Of Parameters For Fine-tuning, by Rishub Tamirisa et al.
Summary of New Methods For Drug Synergy Prediction: a Mini-review, by Fatemeh Abbasi and Juho Rousu
Summary of Learning Generalized Policies For Fully Observable Non-deterministic Planning Domains, by Till Hofmann et al.
Summary of Measuring Social Norms Of Large Language Models, by Ye Yuan et al.
Summary of Viassist: Adapting Multi-modal Large Language Models For Users with Visual Impairments, by Bufang Yang et al.
Summary of Convergence Analysis Of Flow Matching in Latent Space with Transformers, by Yuling Jiao et al.
Summary of Grid-mapping Pseudo-count Constraint For Offline Reinforcement Learning, by Yi Shen et al.
Summary of Incremental Learning with Concept Drift Detection and Prototype-based Embeddings For Graph Stream Classification, by Kleanthis Malialis and Jin Li and Christos G. Panayiotou and Marios M. Polycarpou
Summary of Solving a Real-world Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering, by Abhijeet Pendyala et al.
Summary of Transformer-based Stagewise Decomposition For Large-scale Multistage Stochastic Optimization, by Chanyeong Kim et al.
Summary of A Differentiable Integer Linear Programming Solver For Explanation-based Natural Language Inference, by Mokanarangan Thayaparan et al.
Summary of Adaptive Sampling Policies Imply Biased Beliefs: a Generalization Of the Hot Stove Effect, by Jerker Denrell