Graph Diffusion Policy Optimization
🖥 Github: https://github.com/sail-sg/gdpo
📕 Paper: https://arxiv.org/pdf/2402.16302v1.pdf
🔥Dataset: https://paperswithcode.com/dataset/zinc
✨ Tasks: https://paperswithcode.com/task/graph-generation
✅ @Machine_learn
🔥Dataset: https://paperswithcode.com/dataset/zinc
Please open Telegram to view this post
VIEW IN TELEGRAM
👍7
Very cool cookbook here
PDF extractor, calendar agent, data analyst, financial agent & more
docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents
✅ @Machine_learn
PDF extractor, calendar agent, data analyst, financial agent & more
docs: https://docs.cohere.com/docs/multi-step-tool-use
cookbook: https://github.com/cohere-ai/notebooks/tree/main?tab=readme-ov-file#agents
Please open Telegram to view this post
VIEW IN TELEGRAM
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
🖥 Github: https://github.com/wangkai930418/DPL
📕 Paper: https://arxiv.org/abs/2405.01496v1
🔥Dataset: https://neurips.cc/virtual/2023/poster/72801
@Machine_learn
🔥Dataset: https://neurips.cc/virtual/2023/poster/72801
@Machine_learn
Please open Telegram to view this post
VIEW IN TELEGRAM
👍2
Recurrent Neural Networks Learn to Store and Generate Sequences
using Non-Linear Representations
#RNN
https://arxiv.org/pdf/2408.10920
@Machine_learn
using Non-Linear Representations
#RNN
https://arxiv.org/pdf/2408.10920
@Machine_learn
👍2
MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
🖥 Github: https://github.com/zeroqiaoba/mertools
📕 Paper: https://arxiv.org/abs/2404.17113v1
🔥Dataset: https://paperswithcode.com/dataset/voxceleb2
@Machine_learn
🔥Dataset: https://paperswithcode.com/dataset/voxceleb2
@Machine_learn
Please open Telegram to view this post
VIEW IN TELEGRAM
GitHub