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Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
RasmusBergPalm, EliasNajarro, SebastianRisi....
Published date-11/13/2020
Meta-Learning
Recent work has shown promising results using Hebbian meta-learning to solve hard reinforcement learning problems and adapt-to a limited degree-to changes in the environment. In previous works each synapse has …
Interpretable Multi-dataset Evaluation for Named Entity Recognition
JinlanFu, PengFeiLiu, GrahamNeubig....
Published date-11/13/2020
NamedEntityRecognition
With the proliferation of models for natural language processing tasks, it is even harder to understand the differences between models and their relative merits. Simply looking at differences between holistic …
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
YuFeiWang, GauthamNarayanNarasimhan, XingyuLin....
Published date-11/13/2020
Multi-GoalReinforcementLearning
Current image-based reinforcement learning (RL) algorithms typically operate on the whole image without performing object-level reasoning. This leads to inefficient goal sampling and ineffective reward functions. In this paper, we …
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning
DongseokShim, H.JinKim....
Published date-11/12/2020
ImageClassification, ModelCompression
Previous studies on image classification have mainly focused on the performance of the networks, not on real-time operation or model compression. We propose a Gaussian Deep Recurrent visual Attention Model …
Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis
Chung-MingChien, Hung-YiLee....
Published date-11/12/2020
SpeechSynthesis
Prosody modeling is an essential component in modern text-to-speech (TTS) frameworks. By explicitly providing prosody features to the TTS model, the style of synthesized utterances can thus be controlled. However, …
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
AdithyavairavanMurali, WeiyuLiu, KennethMarino....
Published date-11/12/2020
RoboticGrasping
Despite the enormous progress and generalization in robotic grasping in recent years, existing methods have yet to scale and generalize task-oriented grasping to the same extent. This is largely due …