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Showing 1051–1100 of 2646 papers

TitleStatusHype
Comparison of Various SLAM Systems for Mobile Robot in an Indoor Environment—0
Comparison of Stochastic Forecasting Models—0
A convolutional neural network reaches optimal sensitivity for detecting some, but not all, patterns—0
Comparing Intellectual property policy in the Global North and South -- A one-size-fits-all policy for economic prosperity?—0
AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics—0
Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication—0
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss—0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
Common Sense Is All You Need—0
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs—0
Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems—0
Commissioning An All-Sky Infrared Camera Array for Detection Of Airborne Objects—0
CommentsRadar: Dive into Unique Data on All Comments on the Web—0
(Almost) All of Entity Resolution—0
Comment on "All-optical machine learning using diffractive deep neural networks"—0
All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages—0
A fast numerical algorithm for finding all real solutions to a system of N nonlinear equations in a finite domain—0
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
All You Need Is Synthetic Task Augmentation—0
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need—0
``All I know about politics is what I read in Twitter'': Weakly Supervised Models for Extracting Politicians' Stances From Twitter—0
Accurate Forgetting for All-in-One Image Restoration Model—0
Image compositing is all you need for data augmentation—0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification—0
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms—0
Collectively Embedding Multi-Relational Data for Predicting User Preferences—0
Identification and Counting White Blood Cells and Red Blood Cells using Image Processing Case Study of Leukemia—0
Collaborative Augmented Reality on Smartphones via Life-long City-scale Maps—0
If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages—0
If you've seen some, you've seen them all: Identifying variants of multiword expressions—0
Collaboration is all you need: LLM Assisted Safe Code Translation—0
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
Cognition is All You Need -- The Next Layer of AI Above Large Language Models—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
All You Need Is Sex for Diversity—0
A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices—0
CoAPI: An Efficient Two-Phase Algorithm Using Core-Guided Over-Approximate Cover for Prime Compilation of Non-Clausal Formulae—0
All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds—0
CoAM: Corpus of All-Type Multiword Expressions—0
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
CNN-N-Gram for Handwriting Word Recognition—0
CNN Is All You Need—0
Accuracy is Not All You Need—0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation—0
ICD Codes are Insufficient to Create Datasets for Machine Learning: An Evaluation Using All of Us Data for Coccidioidomycosis and Myocardial Infarction—0
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