Vikas Chandra
Artificial Intelligence · arXiv.org · 2023–2024
A researcher in the Science corpus: 5 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 161 citations into it
- Computer Vision and Pattern Recognition — 146 citations into it
Whom Vikas Chandra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Vikas Chandra's perspective
Ordered by how strongly the researchers Vikas Chandra trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Microsoft COCO: Common Objects in Context
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning (2023) — 726 citations
- SpinQuant: LLM quantization with learned rotations (2024) — 438 citations
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding (2024) — 321 citations
- EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything (2023) — 303 citations
- LLM-QAT: Data-Free Quantization Aware Training for Large Language Models (2023) — 398 citations