Questions tagged [papers]

For questions related to artificial intelligence research papers. So, you should use this tag if you want someone to clarify something in a research paper.

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3
votes
1answer
345 views

What is the significance of this Stanford University “Financial Market Time Series Prediction with RNN's” paper?

Researchers at Stanford University released, in 2012, the paper Financial Market Time Series Prediction with Recurrent Neural Networks. It goes on to discuss how they used echo state networks to ...
19
votes
2answers
7k views

What is sample efficiency, and how can importance sampling be used to achieve it?

For instance, the title of this paper reads: "Sample Efficient Actor-Critic with Experience Replay". What is sample efficiency, and how can importance sampling be used to achieve it?
11
votes
4answers
6k views

Where can I find the original paper that introduced RNNs?

I was able to find the original paper on LSTM, I was not able to find the paper that introduced "vanilla" RNNs. Where can I find it?
6
votes
2answers
157 views

Why are reinforcement learning methods sample inefficient?

Reinforcement learning methods are considered to be extremely sample inefficient. For example, in a recent DeepMind paper by Hessel et al., they showed that in order to reach human-level performance ...
1
vote
1answer
54 views

Which reward function works for recommendation systems using knowledge graphs?

I've been reading this paper on recommendation systems using reinforcement learning (RL) and knowledge graphs (KGs). To give some background, the graph has several (finitely many) entities, of which ...
2
votes
1answer
54 views

What is the surrogate loss function in imitation learning, and how is it different from the true cost?

I've been reading A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning lately, and I can't understand what they mean by the surrogate loss function. Some relevant ...
1
vote
0answers
5 views

Does this diagram represent several LSTMs, or one through several timesteps?

I'm trying to read this paper describing Google's LSTM architecture for machine translation. It features this diagram on page 4: I'm interested in the encoder block, on the left. Apparently, the pink ...
0
votes
1answer
38 views

Do the rows of the design matrix refer to the observations or predictors?

I attempt to understand the formulation of dictionary learning for this paper: Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Multimodal Task-Driven ...
0
votes
2answers
216 views

Will AI always depend on models and thus approximations?

In section 3 of the paper The Limits of Correctness (1985) Brian Cantwell Smith writes When you design and build a computer system, you first formulate a model of the problem you want it to solve, ...