Trending Research
What Makes Good Examples for Visual In-Context Learning?
zhangyuanhan-ai/visual_prompt_retrieval
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To overcome the problem, we propose a prompt retrieval framework to automate the selection of in-context examples.
Cross-domain Neural Pitch and Periodicity Estimation
Pitch is a foundational aspect of our perception of audio signals.
Parsel: A (De-)compositional Framework for Algorithmic Reasoning with Language Models
Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs.
Ranked #1 on
Code Generation
on APPS
LogAI: A Library for Log Analytics and Intelligence
In order to enable users to perform multiple types of AI-based log analysis tasks in a uniform manner, we introduce LogAI (https://github. com/salesforce/logai), a one-stop open source library for log analytics and intelligence.
Towards Robust Blind Face Restoration with Codebook Lookup Transformer
In this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction task, while providing rich visual atoms for generating high-quality faces.
Ranked #1 on
Blind Face Restoration
on WIDER
DAMO-YOLO : A Report on Real-Time Object Detection Design
In this report, we present a fast and accurate object detection method dubbed DAMO-YOLO, which achieves higher performance than the state-of-the-art YOLO series.
Ranked #12 on
Real-Time Object Detection
on COCO
Image Super-Resolution using Efficient Striped Window Transformer
fried-rice-lab/friedricelab
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To further exploit the potential of the transformer, we propose a novel flexible window training strategy.
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
The proposed pre-training models of different modalities are showing a rising trend of homogeneity in their model structures, which brings the opportunity to implement different pre-training models within a uniform framework.
ThoughtSource: A central hub for large language model reasoning data
Large language models (LLMs) such as GPT-3 and ChatGPT have recently demonstrated impressive results across a wide range of tasks.
PADL: Language-Directed Physics-Based Character Control
In this work, we present PADL, which leverages recent innovations in NLP in order to take steps towards developing language-directed controllers for physics-based character animation.
