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