Language Models Can See: Plugging Visual Controls in Text Generation
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Better plain ViT baselines for ImageNet-1k
OPT: Open Pre-trained Transformer Language Models
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
Patches Are All You Need?
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Understanding The Robustness in Vision Transformers
PP-Matting: High-Accuracy Natural Image Matting
LinkBERT: Pretraining Language Models with Document Links
Deep Learning Methods for Improved Decoding of Linear Codes
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
SimSwap: An Efficient Framework For High Fidelity Face Swapping
Sparse Instance Activation for Real-Time Instance Segmentation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
Global Tracking Transformers
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