Latest AI Research Papers - Page 3

Latest Papers

November 27, 2024

Collective decision making by embodied neural agents
Nicolas Coucke, Mary Katherine Heinrich, Axel Cleeremans, Marco Dorigo, Guillaume Dumas
Collective Behavior Neural Dynamic Brain Dynamic Neural Agent Collective Decision Sensorimotor Control
Multiple Choice Learning for Efficient Speech Separation with Many Speakers
David Perera, François Derrida, Théo Mariotte, Gaël Richard, Slim Essid
Unsupervised Setting Speech Separation Multiple Choice Speaker Information Permutation Invariant
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
Chen Xu, Qiang Wang, Lijun Sun
Gaussian Process Estimation Task Spatiotemporal Modeling Travel Time Travel Time Estimation
SoK: Watermarking for AI-Generated Content
Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andres Fabrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramer, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song
Generative AI Generated Content Watermarking Method Agnostic Watermarking
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS
Jinyang Wu, Mingkuan Feng, Shuai Zhang, Feihu Che, Zengqi Wen, Jianhua Tao
LeArning Abstract Context Learning Different Context Reasoning Path Exemplar Image Mathematical Reasoning Task Minimax McTs Atomic Action Reasoning Paradigm
A comparison of extended object tracking with multi-modal sensors in indoor environment
Jiangtao Shuai, Martin Baerveldt, Manh Nguyen-Duc, Anh Le-Tuan, Manfred Hauswirth, Danh Le-Phuoc
Mid Range LiDAR Consistent Comparison Arbitrary Object Object Tracking Indoor Environment Single Object Tracking LiDAR Sensor Multimodal Sensing
Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery
Yuze Wang, Aoran Hu, Ji Qi, Yang Liu, Chao Tao
Weakly Supervised Satellite Imagery Temporal Information
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression
Lei Liu, Zhenghao Chen, Dong Xu
Gaussian Splatting 3D Gaussian Entropy Model
Isolating authorship from content with semantic embeddings and contrastive learning
Javier Huertas-Tato, Adrián Girón-Jiménez, Alejandro Martín, David Camacho
Contrastive Learning Jina Embeddings Semantic Similarity Data Leakage Semantic Embeddings Multiple Authorship
Parole de présidents (1958-2022)
Dominique Labbé, Jacques Savoy
Speech Analysis United State Politician Direct Punishment
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yuedong Tan, Danda Pani Paudel, Yulun Zhang, Radu Timofte
Mixture of Expert Receptive Field Restoration Quality Discriminative Learning
Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decoding
Ziyin Zhang, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Rui Wang, Zhaopeng Tu
Large Language Model Text Generation Speculative Decoding Draft Model Self Verification
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
Emily Williams, Amanda Howard, Brek Meuris, Panos Stinis
Training Data Physic Informed Deep Operator Network Spectral Method Basis Function Scientific Computing
Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
José Fernando Núñez, Jamie Arjona, Javier Béjar
Generative Model Data Augmentation Transfer Learning Synthetic Data Synthetic Electrocardiogram
Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
Abhijith S, Arjun Rajesh, Mansi Manoj, Sandra Davis Kollannur, Sujitta R V, Jerrin Thomas Panachakel
Classification Code Comprehensive Review Wearable Device Wearable Single Lead Electrocardiogram Myocardial Infarction Detection
Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation
Marco Pasini, Javier Nistal, Stefan Lattner, George Fazekas
Autoregressive Model Autoregressive Sequence Noise Augmentation Accumulation Pattern
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
Frederic Kirstein, Terry Ruas, Bela Gipp
Language Generation Quality Issue Human Evaluation Contextual Understanding Meeting Summarization Domain Based Nuance
Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds
Jonathan Lichtenfeld, Kevin Daun, Oskar von Stryk
Point Cloud High Efficiency Mobile Robot Leg ODOmetry LiDAR Odometry Dynamic Object Point Cloud Map Non Storm Cloud
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
Yasin I. Tepeli, Mathijs de Wolf, Joana P. Goncalves
Metric Learning Selection Bias Supervised Metric Intrinsic Bias DST Det
Learning the Evolution of Physical Structure of Galaxies via Diffusion Models
Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do
Generative Model Full Model Diffusion Explainer Specie Evolution Distant GALAXY Simple Structure Galaxy Image

Imitation Learning

Strong Generalization

Faithful Generation

Jina Embeddings

Representation Learning

Complex Reasoning

Large Language Model

Language Model

Reinforcement Learning

Neural Network

Imitation Learning

Strong Generalization

Faithful Generation

Jina Embeddings

Representation Learning

Complex Reasoning

Large Language Model

Language Model

Reinforcement Learning

Neural Network

Latest Papers

Collective decision making by embodied neural agents

Multiple Choice Learning for Efficient Speech Separation with Many Speakers

SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation

SoK: Watermarking for AI-Generated Content

Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

A comparison of extended object tracking with multi-modal sensors in indoor environment

Weakly Supervised Framework Considering Multi-temporal Information for Large-scale Cropland Mapping with Satellite Imagery

HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression

Isolating authorship from content with semantic embeddings and contrastive learning

Parole de présidents (1958-2022)

Complexity Experts are Task-Discriminative Learners for Any Image Restoration

Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decoding

What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification

Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator

Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds

Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models