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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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04/18/2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Large pre-trained language models (LLMs) have been shown to have signifi...
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08/12/2022
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search
BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...
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10/27/2021
SCALP – Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Computer-aided diagnosis plays a salient role in more accessible and acc...
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09/10/2021
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Temporal grounding aims to localize a video moment which is semantically...
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09/09/2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Deep learning has achieved remarkable progress for visual recognition on...
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08/06/2021
Vision-Based Food Analysis for Automatic Dietary Assessment
Background: Maintaining a healthy diet is vital to avoid health-related ...
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05/08/2021
MCTG:Multi-frequency continuous-share trading algorithm with GARCH based on deep reinforcement learning
Making profits in stock market is a challenging task for both profession...
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01/16/2020