Paper List

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

Summary of Beyond the Norms: Detecting Prediction Errors in Regression Models, by Andres Altieri et al.
Summary of Discrete Dictionary-based Decomposition Layer For Structured Representation Learning, by Taewon Park et al.
Summary of Cross-domain-aware Worker Selection with Training For Crowdsourced Annotation, by Yushi Sun et al.
Summary of Audiomarkbench: Benchmarking Robustness Of Audio Watermarking, by Hongbin Liu et al.
Summary of Coprocessor Actor Critic: a Model-based Reinforcement Learning Approach For Adaptive Brain Stimulation, by Michelle Pan et al.
Summary of Ai-driven Predictive Analytics Approach For Early Prognosis Of Chronic Kidney Disease Using Ensemble Learning and Explainable Ai, by K M Tawsik Jawad et al.
Summary of Long-term Fairness Inquiries and Pursuits in Machine Learning: a Survey Of Notions, Methods, and Challenges, by Usman Gohar et al.
Summary of A Multi-module Robust Method For Transient Stability Assessment Against False Label Injection Cyberattacks, by Hanxuan Wang et al.
Summary of Scaling the Vocabulary Of Non-autoregressive Models For Efficient Generative Retrieval, by Ravisri Valluri et al.
Summary of Multi-objective Neural Architecture Search For In-memory Computing, by Md Hasibul Amin et al.
Summary of Complexity-aware Deep Symbolic Regression with Robust Risk-seeking Policy Gradients, by Zachary Bastiani et al.
Summary of Reinforced Compressive Neural Architecture Search For Versatile Adversarial Robustness, by Dingrong Wang et al.
Summary of Seefar: Satellite Agnostic Multi-resolution Dataset For Geospatial Foundation Models, by James Lowman et al.
Summary of Plandq: Hierarchical Plan Orchestration Via D-conductor and Q-performer, by Chang Chen et al.
Summary of Flexloc: Conditional Neural Networks For Zero-shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors, by Jason Wu et al.
Summary of Satisficing Regret Minimization in Bandits, by Qing Feng et al.
Summary of Learning Continually by Spectral Regularization, By Alex Lewandowski et al.
Summary of On Learning What to Learn: Heterogeneous Observations Of Dynamics and Establishing (possibly Causal) Relations Among Them, by David W. Sroczynski et al.
Summary of Conformal Prediction For Class-wise Coverage Via Augmented Label Rank Calibration, by Yuanjie Shi et al.
Summary of Adapters Strike Back, by Jan-martin O. Steitz and Stefan Roth
Summary of Locally Interdependent Multi-agent Mdp: Theoretical Framework For Decentralized Agents with Dynamic Dependencies, by Alex Deweese et al.
Summary of A Local Squared Wasserstein-2 Method For Efficient Reconstruction Of Models with Uncertainty, by Mingtao Xia et al.
Summary of Personalized Binomial Dags Learning with Network Structured Covariates, by Boxin Zhao et al.
Summary of Silent Signals, Loud Impact: Llms For Word-sense Disambiguation Of Coded Dog Whistles, by Julia Kruk et al.
Summary of Rapid Review Of Generative Ai in Smart Medical Applications, by Yuan Sun et al.
Summary of A Survey Of Meta-features Used For Automated Selection Of Algorithms For Black-box Single-objective Continuous Optimization, by Gjorgjina Cenikj et al.
Summary of Hinge-fm2i: An Approach Using Image Inpainting For Interpolating Missing Data in Univariate Time Series, by Noufel Saad et al.
Summary of Transfer Entropy in Graph Convolutional Neural Networks, by Adrian Moldovan et al.
Summary of Llm Questionnaire Completion For Automatic Psychiatric Assessment, by Gony Rosenman et al.
Summary of Paircfr: Enhancing Model Training on Paired Counterfactually Augmented Data Through Contrastive Learning, by Xiaoqi Qiu et al.
Summary of Investigation Of the Impact Of Economic and Social Factors on Energy Demand Through Natural Language Processing, by Yun Bai et al.
Summary of Topobenchmarkx: a Framework For Benchmarking Topological Deep Learning, by Lev Telyatnikov et al.
Summary of Network-based Transfer Learning Helps Improve Short-term Crime Prediction Accuracy, by Jiahui Wu and Vanessa Frias-martinez
Summary of Latent Diffusion Model-enabled Low-latency Semantic Communication in the Presence Of Semantic Ambiguities and Wireless Channel Noises, by Jianhua Pei et al.
Summary of Signbleu: Automatic Evaluation Of Multi-channel Sign Language Translation, by Jung-ho Kim et al.
Summary of Short-term Electricity Demand Forecasting Of Dhaka City Using Cnn with Stacked Bilstm, by Kazi Fuad Bin Akhter et al.
Summary of Improving Generalization Of Neural Vehicle Routing Problem Solvers Through the Lens Of Model Architecture, by Yubin Xiao et al.
Summary of Dkdl-net: a Lightweight Bearing Fault Detection Model Via Decoupled Knowledge Distillation and Low-rank Adaptation Fine-tuning, by Ovanes Petrosian and Li Pengyi and He Yulong and Liu Jiarui and Sun Zhaoruikun and Fu Guofeng and Meng Liping
Summary of Fed-sophia: a Communication-efficient Second-order Federated Learning Algorithm, by Ahmed Elbakary et al.
Summary of Training and Validating a Treatment Recommender with Partial Verification Evidence, by Vishnu Unnikrishnan et al.
Summary of Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets, by Eleni Straitouri et al.
Summary of Forget Sharpness: Perturbed Forgetting Of Model Biases Within Sam Dynamics, by Ankit Vani et al.
Summary of Space-time Continuous Pde Forecasting Using Equivariant Neural Fields, by David M. Knigge et al.
Summary of Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3d-slowfast Network, by Manvik Pasula and Pramit Saha
Summary of Exploring Multilingual Large Language Models For Enhanced Tnm Classification Of Radiology Report in Lung Cancer Staging, by Hidetoshi Matsuo et al.
Summary of Improve Mathematical Reasoning in Language Models by Automated Process Supervision, By Liangchen Luo et al.
Summary of Differentiable Combinatorial Scheduling at Scale, by Mingju Liu et al.
Summary of Beyond 5g Network Failure Classification For Network Digital Twin Using Graph Neural Network, by Abubakar Isah et al.
Summary of Anna Karenina Strikes Again: Pre-trained Llm Embeddings May Favor High-performing Learners, by Abigail Gurin Schleifer et al.
Summary of Horae: a Domain-agnostic Modeling Language For Automating Multimodal Service Regulation, by Yutao Sun et al.
Summary of Fpn-fusion: Enhanced Linear Complexity Time Series Forecasting Model, by Chu Li et al.
Summary of Modeling Of New Energy Vehicles’ Impact on Urban Ecology Focusing on Behavior, by Run-xuan Tang
Summary of Continuous Test-time Domain Adaptation For Efficient Fault Detection Under Evolving Operating Conditions, by Han Sun et al.
Summary of Mitigating Bias in Dataset Distillation, by Justin Cui et al.
Summary of Reinterpreting ‘the Company a Word Keeps’: Towards Explainable and Ontologically Grounded Language Models, by Walid S. Saba
Summary of Building Hybrid B-spline and Neural Network Operators, by Raffaele Romagnoli et al.
Summary of See-2-sound: Zero-shot Spatial Environment-to-spatial Sound, by Rishit Dagli et al.
Summary of Language Guided Skill Discovery, by Seungeun Rho et al.
Summary of Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration Of Chatgpt and Large Language Models For Patient Care, by Masoumeh Farhadi Nia et al.
Summary of Dualtime: a Dual-adapter Multimodal Language Model For Time Series Representation, by Weiqi Zhang et al.
Summary of Exploring the Determinants Of Pedestrian Crash Severity Using An Automl Approach, by Amir Rafe and Patrick A. Singleton
Summary of Linkq: An Llm-assisted Visual Interface For Knowledge Graph Question-answering, by Harry Li et al.
Summary of Spectrum: Targeted Training on Signal to Noise Ratio, by Eric Hartford and Lucas Atkins and Fernando Fernandes Neto and David Golchinfar
Summary of Benchmarking Neural Decoding Backbones Towards Enhanced On-edge Ibci Applications, by Zhou Zhou et al.
Summary of Random Features Approximation For Control-affine Systems, by Kimia Kazemian et al.
Summary of Data Augmentation For Multivariate Time Series Classification: An Experimental Study, by Romain Ilbert et al.
Summary of Decentralized Personalized Federated Learning, by Salma Kharrat et al.
Summary of Understanding Attention-based Encoder-decoder Networks: a Case Study with Chess Scoresheet Recognition, by Sergio Y. Hayashi et al.
Summary of Ensemble Model with Bert,roberta and Xlnet For Molecular Property Prediction, by Junling Hu
Summary of An Evaluation Benchmark For Autoformalization in Lean4, by Aryan Gulati et al.
Summary of Harnessing Business and Media Insights with Large Language Models, by Yujia Bao et al.
Summary of Switchlora: Switched Low-rank Adaptation Can Learn Full-rank Information, by Kaiye Zhou et al.
Summary of Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin, by Carolina Fortuna et al.
Summary of Mixeval: Deriving Wisdom Of the Crowd From Llm Benchmark Mixtures, by Jinjie Ni et al.
Summary of Dha: Learning Decoupled-head Attention From Transformer Checkpoints Via Adaptive Heads Fusion, by Yilong Chen et al.
Summary of Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models For Improved Accuracy, by Anjanava Biswas et al.
Summary of Medfuzz: Exploring the Robustness Of Large Language Models in Medical Question Answering, by Robert Osazuwa Ness et al.
Summary of Sms Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing, by Dare Azeez Oyeyemi et al.
Summary of Occamllm: Fast and Exact Language Model Arithmetic in a Single Step, by Owen Dugan et al.
Summary of Discrete Multimodal Transformers with a Pretrained Large Language Model For Mixed-supervision Speech Processing, by Viet Anh Trinh et al.
Summary of Order-independence Without Fine Tuning, by Reid Mcilroy-young et al.
Summary of Adaptive Multiple Optimal Learning Factors For Neural Network Training, by Jeshwanth Challagundla
Summary of Expressive Symbolic Regression For Interpretable Models Of Discrete-time Dynamical Systems, by Adarsh Iyer et al.
Summary of Assessing the Emergent Symbolic Reasoning Abilities Of Llama Large Language Models, by Flavio Petruzzellis et al.
Summary of Multimodal Contextualized Semantic Parsing From Speech, by Jordan Voas et al.
Summary of Llm Dataset Inference: Did You Train on My Dataset?, by Pratyush Maini and Hengrui Jia and Nicolas Papernot and Adam Dziedzic
Summary of Cometh: a Continuous-time Discrete-state Graph Diffusion Model, by Antoine Siraudin et al.
Summary of Vcr: Visual Caption Restoration, by Tianyu Zhang et al.
Summary of How Useful Is Intermittent, Asynchronous Expert Feedback For Bayesian Optimization?, by Agustinus Kristiadi et al.
Summary of Aid: Adapting Image2video Diffusion Models For Instruction-guided Video Prediction, by Zhen Xing and Qi Dai and Zejia Weng and Zuxuan Wu and Yu-gang Jiang
Summary of Gkan: Graph Kolmogorov-arnold Networks, by Mehrdad Kiamari et al.
Summary of How Far Can Transformers Reason? the Globality Barrier and Inductive Scratchpad, by Emmanuel Abbe et al.
Summary of Husky: a Unified, Open-source Language Agent For Multi-step Reasoning, by Joongwon Kim et al.
Summary of Graph-based Bidirectional Transformer Decision Threshold Adjustment Algorithm For Class-imbalanced Molecular Data, by Nicole Hayes et al.
Summary of Parallelizing Linear Transformers with the Delta Rule Over Sequence Length, by Songlin Yang et al.
Summary of Continuum Attention For Neural Operators, by Edoardo Calvello et al.
Summary of When Is Multicalibration Post-processing Necessary?, by Dutch Hansen et al.
Summary of Scaling Continuous Latent Variable Models As Probabilistic Integral Circuits, by Gennaro Gala et al.
Summary of Boosting Robustness in Preference-based Reinforcement Learning with Dynamic Sparsity, by Calarina Muslimani and Bram Grooten and Deepak Ranganatha Sastry Mamillapalli and Mykola Pechenizkiy and Decebal Constantin Mocanu and Matthew E. Taylor
Summary of Direct Preference Optimization For Suppressing Hallucinated Prior Exams in Radiology Report Generation, by Oishi Banerjee et al.