Asia
Continual Learning for Instruction Following from Realtime Feedback
We evaluate through thousands of human-agent interactions, demonstrating 15.4% absolute improvement in instruction execution accuracy
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu
This paper aims to tackle the challenging problem of one-shot object detection.
Sequencer: Deep LSTMfor Image Classification
The modernize result, our Second, the connects Ontheother77], theoutput BiLSTM. Weadopt AdamWoptimizer [wingthepreviousstudy [weadopt ratebatchsizesfor Sequencer2D-S, Sequencer2D-M, are 2048, 1536, and 1024, respectively.
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
Neural Information Processing Systems http://nips.cc/
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
Integrated development environments (IDEs) assist developers in understanding repository context using static analysis.
Lookahead Optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba, Geoffrey E. Hinton
Neural Information Processing Systems http://nips.cc/