Trending Research
Hacking Neural Networks: A Short Introduction
• Kayzaks/HackingNeuralNetworks
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A large chunk of research on the security issues of neural networks is focused on adversarial attacks.
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
The IKEA Furniture Assembly Environment is one of the first benchmarks for testing and accelerating the automation of complex manipulation tasks.
Learning Spatial Fusion for Single-Shot Object Detection
Pyramidal feature representation is the common practice to address the challenge of scale variation in object detection.
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
• wei-tim/YOWO
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YOWO makes use of a single neural network to extract temporal and spatial information concurrently and predict bounding boxes and action probabilities directly from video clips in one evaluation.
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research.
LIDA: Lightweight Interactive Dialogue Annotator
Dialogue systems have the potential to change how people interact with machines but are highly dependent on the quality of the data used to train them.
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
NeurIPS 2018
• microsoft/DialogLSP
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Responses generated by neural conversational models tend to lack informativeness and diversity.
A Diversity-Promoting Objective Function for Neural Conversation Models
NAACL 2016
• microsoft/DialogLSP
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Sequence-to-sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e. g., "I don't know") regardless of the input.