6,530 research outputs found
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
The recent work of Super Characters method using two-dimensional word
embedding achieved state-of-the-art results in text classification tasks,
showcasing the promise of this new approach. This paper borrows the idea of
Super Characters method and two-dimensional embedding, and proposes a method of
generating conversational response for open domain dialogues. The experimental
results on a public dataset shows that the proposed SuperChat method generates
high quality responses. An interactive demo is ready to show at the workshop.Comment: 5 pages, 2 figures, 1 table. Accepted by CVPR2019 Language and Vision
Worksho
Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek
Resource allocation games such as the famous Colonel Blotto (CB) and
Hide-and-Seek (HS) games are often used to model a large variety of practical
problems, but only in their one-shot versions. Indeed, due to their extremely
large strategy space, it remains an open question how one can efficiently learn
in these games. In this work, we show that the online CB and HS games can be
cast as path planning problems with side-observations (SOPPP): at each stage, a
learner chooses a path on a directed acyclic graph and suffers the sum of
losses that are adversarially assigned to the corresponding edges; and she then
receives semi-bandit feedback with side-observations (i.e., she observes the
losses on the chosen edges plus some others). We propose a novel algorithm,
EXP3-OE, the first-of-its-kind with guaranteed efficient running time for SOPPP
without requiring any auxiliary oracle. We provide an expected-regret bound of
EXP3-OE in SOPPP matching the order of the best benchmark in the literature.
Moreover, we introduce additional assumptions on the observability model under
which we can further improve the regret bounds of EXP3-OE. We illustrate the
benefit of using EXP3-OE in SOPPP by applying it to the online CB and HS games.Comment: Previously, this work appeared as arXiv:1911.09023 which was
mistakenly submitted as a new article (has been submitted to be withdrawn).
This is a preprint of the work published in Proceedings of the 34th AAAI
Conference on Artificial Intelligence (AAAI
Betrayal, Distrust, and Rationality: Smart Counter-Collusion Contracts for Verifiable Cloud Computing
Cloud computing has become an irreversible trend. Together comes the pressing
need for verifiability, to assure the client the correctness of computation
outsourced to the cloud. Existing verifiable computation techniques all have a
high overhead, thus if being deployed in the clouds, would render cloud
computing more expensive than the on-premises counterpart. To achieve
verifiability at a reasonable cost, we leverage game theory and propose a smart
contract based solution. In a nutshell, a client lets two clouds compute the
same task, and uses smart contracts to stimulate tension, betrayal and distrust
between the clouds, so that rational clouds will not collude and cheat. In the
absence of collusion, verification of correctness can be done easily by
crosschecking the results from the two clouds. We provide a formal analysis of
the games induced by the contracts, and prove that the contracts will be
effective under certain reasonable assumptions. By resorting to game theory and
smart contracts, we are able to avoid heavy cryptographic protocols. The client
only needs to pay two clouds to compute in the clear, and a small transaction
fee to use the smart contracts. We also conducted a feasibility study that
involves implementing the contracts in Solidity and running them on the
official Ethereum network.Comment: Published in ACM CCS 2017, this is the full version with all
appendice
An updated stellar census of the Quintuplet cluster
Context. Found within the central molecular zone, the Quintuplet is one of the most massive young clusters in the Galaxy. As a consequence it offers the prospect of constraining stellar formation and evolution in extreme environments. However, current observations suggest that it comprises a remarkably diverse stellar population that is difficult to reconcile with an instantaneous formation event.
Aims. To better understand the nature of the cluster our aim is to improve observational constraints on the constituent stars.
Methods. In order to accomplish this goal we present Hubble Space Telescope/NICMOS+WFC3 photometry and Very Large Telescope/SINFONI+KMOS spectroscopy for ∼100 and 71 cluster members, respectively.
Results. Spectroscopy of the cluster members reveals the Quintuplet to be far more homogeneous than previously expected. All supergiants are classified as either O7–8 Ia or O9–B0 Ia, with only one object of earlier (O5 I–III) spectral type. These stars form a smooth morphological sequence with a cohort of seven early-B hypergiants and six luminous blue variables and WN9-11h stars, which comprise the richest population of such stars of any stellar aggregate known. In parallel, we identify a smaller population of late-O hypergiants and spectroscopically similar WN8–9ha stars. No further H-free Wolf–Rayet (WR) stars are identified, leaving an unexpectedly extreme ratio of 13:1 for WC/WN stars. A subset of the O9–B0 supergiants are unexpectedly faint, suggesting they are both less massive and older than the greater cluster population. Finally, no main sequence objects were identifiable.
Conclusions. Due to uncertainties over which extinction law to apply, it was not possible to quantitatively determine a cluster age via isochrone fitting. Nevertheless, we find an impressive coincidence between the properties of cluster members preceding the H-free WR phase and the evolutionary predictions for a single, non-rotating 60 M⊙ star; in turn this implies an age of ∼3.0–3.6 Myr for the Quintuplet. Neither the late O-hypergiants nor the low luminosity supergiants are predicted by such a path; we suggest that the former either result from rapid rotators or are the products of binary driven mass-stripping, while the latter may be interlopers. The H-free WRs must evolve from stars with an initial mass in excess of 60 M⊙ but it appears difficult to reconcile their observational properties with theoretical expectations. This is important since one would expect the most massive stars within the Quintuplet to be undergoing core-collapse/SNe at this time; since the WRs represent an evolutionary phase directly preceding this event,their physical properties are crucial to understanding both this process and the nature of the resultant relativistic remnant. As such, the Quintuplet provides unique observational constraints on the evolution and death of the most massive stars forming in the local, high metallicity Universe
Study of the Regulatory Issues Affecting Truck Freight Movement in the Midwest
Report Summary:
This project investigated regulatory issues that may affect or limit freight movement in Iowa and other Midwest states: Illinois, Kansas, Minnesota, Missouri, Nebraska, South Dakota, and Wisconsin. Current state regulations for the following are reviewed and summarized:
- Vehicle dimensions
- Vehicle weights
- Speed limits
- Weight compliance enforcement
- Fees and taxes
- Driver qualifications
- Medical certification
- Hours of service
- Oversize-overweight permit
Heteroepitaxy crystallography in low dimensional nanostructures
Low dimensional nanostructures, e.g. nanowires, self-assembled through heteroepitaxy, present a variety of crystallographic features that do not always follow conventional V-W or S-K growth mode. Applying Δg parallelism rules and edge-to-edge matching (E2EM) model in β-DySi/Si and CoSi/Si systems provides a better understanding of the natural preference of the interface orientation and the orientation relationship (OR) during heteroepitaxial growth. This may help improving the quality of nanowires through optimizing the substrate orientation
- …