[PDF] Top 20 On learning and generalization in unstructured taskspaces
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On learning and generalization in unstructured taskspaces
... meta-underfitting, in the former, "wide" case), is not new to recent deep reinforcement learning problem ...when learning robotic policies purely in ...meta-reinforcement ... Voir le document complet
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The role of semantic distance in learning and generalization of novel names in typically developing and atypically developing children
... ball) and a same-superordinate-but-perceptually- dissimilar category, either close ...ID and TD children were split in two groups a High and Low Raven ...learn and extend novel names. ... Voir le document complet
3
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
... similarity and metric learn- ing typically estimates a number of parameters which is quadratic in the data dimension ...algorithmic and generalization ...complexity in d. In ... Voir le document complet
31
Can categorization and generalization difficulties explain word learning characteristics in Developmental Language Disorders?
... Categorization and generalization processes are involved in word ...word learning and help generalization (Perry & Samuelson, 2011) ; • Generalization can be defined ... Voir le document complet
1
Applications of empirical processes in learning theory : algorithmic stability and generalization bounds
... Vapnik-Chervonenkis (VC) dimension, a combinatorial notion of complexity of a bi- nary function class, turned out to be the key to demonstrating uniform convergence [r] ... Voir le document complet
148
Enlarging paraphrase collections through generalization and instantiation
... objective, and have come close to meeting the quality ...out in-depth anal- yses of the proposed ...metrics in our future ...mentioned in Section ...variable, learning curve experiments ... Voir le document complet
13
On sample efficiency and systematic generalization of grounded language understanding with deep learning
... GridLU-Arrangements, in which each instruction is associated with multiple viable goal-states that share some (more abstract) common ...instructions and forms is illustrated in Figure ...model. ... Voir le document complet
161
An analysis of training and generalization errors in shallow and deep networks
... role in artificial intelligence, industry, and many aspects of modern life ranging from homeland security to automated ...success in comparison with classical shallow networks. There are many efforts ... Voir le document complet
10
Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software
... Experimentation has been done on four different data sets coming from the UCI Machine Learning Repository site (ftp://ics.uci.edu/pub): WINE, VOTE, WAVE, ZOO. Data have been processed with four different indexes ... Voir le document complet
13
Relaxation schemes for min max generalization in deterministic batch mode reinforcement learning
... Acknowledgments Raphael Fonteneau is a postdoctoral fellow of the FRS-FNRS. This paper presents research results of the European Network of Excellence PASCAL2 and the Belgian Network DYSCO funded by the ... Voir le document complet
6
Dynamic treatment regimes using reinforcement learning: a cautious generalization approach
... effects and expensive ...statistics and control theory) that allow to in- fer from clinical data high-quality ...propose in this framework a consistent algorithm of quadratic complexity [3] ... Voir le document complet
1
Deep Sets for Generalization in RL
... Kohli, and Edward Grefen- stette. Learning to Understand Goal Specifications by Modelling ...Reward. In International Con- ference on Learning Representations, jun ...Li, and Razvan ... Voir le document complet
16
Construction generalization in children with developmental language disorders
... peers in a novel construction generalization ...first and the progressive introduction of variability) facilitates construction generalization in children with or without ...included ... Voir le document complet
1
Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
... [23] in the 90s, autonomous driving based on visual input has seen significant advances over the past few ...raw in- put, such as road images, to driving ...end-to-end learning is the reduction of ... Voir le document complet
9
Compositionality and Generalization in Emergent Languages
... ity. In this paper, we study whether the lan- guage emerging in deep multi-agent simula- tions possesses a similar ability to refer to novel primitive combinations, and whether it accomplishes this ... Voir le document complet
17
A cautious approach to generalization in reinforcement learning
... Abstract: In the context of a deterministic Lipschitz continuous environment over continuous state spaces, finite action spaces, and a finite optimization horizon, we propose an algorithm of polynomial ... Voir le document complet
10
Concept Generalization in Visual Representation Learning
... classifiers In ImageNet-CoG, we perform 4 different types of trans- fer learning experiments on a particular set of concepts, ...i.e., IN-1K or our concept generalization levels L 1/2/3/4/5 ... Voir le document complet
24
Towards min max generalization in reinforcement learning
... As in our previous work [12] from which this paper is an extended version, we assume a deterministic Lipschitz continuous environment over continuous state spaces, finite action spaces, and a finite ... Voir le document complet
18
On cross-dataset generalization in automatic detection of online abuse
... formulation and topic ...described in Section 3 , observe that the Wiki-dataset defines the class Toxic in a general ...clearly in our ...included in our analysis formulate a specific ... Voir le document complet
12
Towards Understanding Generalization in Gradient-Based Meta-Learning
... MAML and First-Order MAML, on Omniglot and MiniImagenet After each training epoch, we compute E[H θ ( D i ; ˜ θ i ) σ ] using a fixed set of 60 randomly sampled meta-test tasks T i ...seen in ... Voir le document complet
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