Saved in:
| Main Author: | Stigall, William A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.10660 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Play Video Games with Intuitive Physics Priors
by: Jaiswal, Abhishek, et al.
Published: (2024)
by: Jaiswal, Abhishek, et al.
Published: (2024)
GhostNetV3-Small: A Tailored Architecture and Comparative Study of Distillation Strategies for Tiny Images
by: Zager, Florian, et al.
Published: (2025)
by: Zager, Florian, et al.
Published: (2025)
Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
by: Patodiya, Aryan, et al.
Published: (2026)
by: Patodiya, Aryan, et al.
Published: (2026)
The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers
by: Sengodan, Naren
Published: (2025)
by: Sengodan, Naren
Published: (2025)
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
A Multimodal Architecture for Endpoint Position Prediction in Team-based Multiplayer Games
by: Peche, Jonas, et al.
Published: (2025)
by: Peche, Jonas, et al.
Published: (2025)
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
by: Schaumlöffel, Timothy, et al.
Published: (2023)
by: Schaumlöffel, Timothy, et al.
Published: (2023)
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
by: Chen, William, et al.
Published: (2024)
by: Chen, William, et al.
Published: (2024)
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
by: Liu, Sihao, et al.
Published: (2024)
by: Liu, Sihao, et al.
Published: (2024)
AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
by: Miao, Yanting, et al.
Published: (2024)
by: Miao, Yanting, et al.
Published: (2024)
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
by: Li, Zhengang, et al.
Published: (2024)
by: Li, Zhengang, et al.
Published: (2024)
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
by: Quentin, Pajon, et al.
Published: (2023)
by: Quentin, Pajon, et al.
Published: (2023)
Pixels to Play: A Foundation Model for 3D Gameplay
by: Yue, Yuguang, et al.
Published: (2025)
by: Yue, Yuguang, et al.
Published: (2025)
PlayGen-MoG: Framework for Diverse Multi-Agent Play Generation via Mixture-of-Gaussians Trajectory Prediction
by: Song, Kevin
Published: (2026)
by: Song, Kevin
Published: (2026)
A Comparative Study of Custom CNNs, Pre-trained Models, and Transfer Learning Across Multiple Visual Datasets
by: Akhand, Annoor Sharara
Published: (2026)
by: Akhand, Annoor Sharara
Published: (2026)
US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
by: Radhachandran, Ashwath, et al.
Published: (2026)
by: Radhachandran, Ashwath, et al.
Published: (2026)
LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture Search
by: Yoshimura, Masakazu, et al.
Published: (2026)
by: Yoshimura, Masakazu, et al.
Published: (2026)
A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
by: Skobelev, Kirill, et al.
Published: (2026)
by: Skobelev, Kirill, et al.
Published: (2026)
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
by: Aledhari, Mohammed, et al.
Published: (2024)
by: Aledhari, Mohammed, et al.
Published: (2024)
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning
by: Jiang, Yue, et al.
Published: (2024)
by: Jiang, Yue, et al.
Published: (2024)
Don't Play Favorites: Minority Guidance for Diffusion Models
by: Um, Soobin, et al.
Published: (2023)
by: Um, Soobin, et al.
Published: (2023)
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework
by: Shrestha, Rajesh, et al.
Published: (2026)
by: Shrestha, Rajesh, et al.
Published: (2026)
A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
by: Kamal, Minhas, et al.
Published: (2026)
by: Kamal, Minhas, et al.
Published: (2026)
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games
by: Schäfer, Lukas, et al.
Published: (2023)
by: Schäfer, Lukas, et al.
Published: (2023)
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
by: Doh, Miriam, et al.
Published: (2025)
by: Doh, Miriam, et al.
Published: (2025)
Reinforcement Learning with Generalizable Gaussian Splatting
by: Wang, Jiaxu, et al.
Published: (2024)
by: Wang, Jiaxu, et al.
Published: (2024)
Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)
by: Black, Kevin, et al.
Published: (2023)
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
by: Pantazopoulos, Georgios, et al.
Published: (2024)
by: Pantazopoulos, Georgios, et al.
Published: (2024)
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
by: Chu, Tianzhe, et al.
Published: (2025)
by: Chu, Tianzhe, et al.
Published: (2025)
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
by: Hooper, Sarah M., et al.
Published: (2024)
by: Hooper, Sarah M., et al.
Published: (2024)
Towards Principled Representation Learning from Videos for Reinforcement Learning
by: Misra, Dipendra, et al.
Published: (2024)
by: Misra, Dipendra, et al.
Published: (2024)
Case Study: Transformer-Based Solution for the Automatic Digitization of Gas Plants
by: Bailo, I., et al.
Published: (2025)
by: Bailo, I., et al.
Published: (2025)
Large-scale Reinforcement Learning for Diffusion Models
by: Zhang, Yinan, et al.
Published: (2024)
by: Zhang, Yinan, et al.
Published: (2024)
Revisiting Data Augmentation in Deep Reinforcement Learning
by: Hu, Jianshu, et al.
Published: (2024)
by: Hu, Jianshu, et al.
Published: (2024)
Robustness Evaluation for Video Models with Reinforcement Learning
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
by: Khan, Asifullah, et al.
Published: (2024)
by: Khan, Asifullah, et al.
Published: (2024)
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
by: Landgraf, Steven, et al.
Published: (2024)
by: Landgraf, Steven, et al.
Published: (2024)
Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
Similar Items
-
Learning to Play Video Games with Intuitive Physics Priors
by: Jaiswal, Abhishek, et al.
Published: (2024) -
GhostNetV3-Small: A Tailored Architecture and Comparative Study of Distillation Strategies for Tiny Images
by: Zager, Florian, et al.
Published: (2025) -
Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
by: Patodiya, Aryan, et al.
Published: (2026) -
The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers
by: Sengodan, Naren
Published: (2025) -
Parameter Reduction Improves Vision Transformers: A Comparative Study of Sharing and Width Reduction
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)