Guided Open Vocabulary Image Captioning with Constrained Beam Search

Existing image captioning models do not generalize well to out-of-domain images containing novel scenes or objects. This limitation severely hinders the use of these models in real world applications dealing with images in the wild. We address this problem using a flexible approach that enables existing deep captioning architectures to take advantage of image taggers at test time, without re-training. Our method uses constrained beam search to force the inclusion of selected tag words in the output, and fixed, pretrained word embeddings to facilitate vocabulary expansion to previously unseen tag words. Using this approach we achieve state of the art results for out-of-domain captioning on MSCOCO (and improved results for in-domain captioning). Perhaps surprisingly, our results significantly outperform approaches that incorporate the same tag predictions into the learning algorithm. We also show that we can significantly improve the quality of generated ImageNet captions by leveraging ground-truth labels.Comment: EMNLP 201

A dysphoric's TALE: The relationship between the self-reported functions of autobiographical memory and symptoms of depression

Autobiographical memory (AM) is believed to serve self, social and directive functions; however, little is known regarding how this triad of functions operates in depression. Using the Thinking About Life Experiences questionnaire [Bluck, S., & Alea, N. (2011). Crafting the TALE: Construction of a measure to assess the functions of autobiographical remembering. Memory, 19, 470–486.; Bluck, S., Alea, N., Habermas, T., & Rubin, D. C. (2005). A TALE of three functions: The self–reported uses of autobiographical memory. Social Cognition, 23, 91–117.], two studies explored the relationship between depressive symptomology and the self-reported frequency and usefulness of AMs for self, social and directive purposes. Study 1 revealed that thinking more frequently but talking less frequently about past life events was significantly associated with higher depression scores. Recalling past events more frequently to maintain self-continuity was also significantly associated with higher depressive symptomology. However, results from Study 2 indicated that higher levels of depression were also significantly associated with less-frequent useful recollections of past life events for self-continuity purposes. Taken together, the findings suggest atypical utilisations of AM to serve self-continuity functions in depression and can be interpreted within the wider context of ruminative thought processes

Bald Eagles at the Savanna Army Depot

Eagle Valley Environmentalists Technical Report #SADE-81, Research Report conducted December 1980 - March 1981, under a contract with the United States Arm

Properties of the Charmed P-wave Mesons

Two broad charmed mesons, the D_0^* and D_1', have recently been observed. We examine the quark model predictions for the D_0^* and D_1' properties and discuss experimental measurements that can shed light on them. We find that these states are well described as the broad, j=1/2 non-strange charmed P-wave mesons. Understanding the D_0^* and D_1' states can provide important insights into the D_{sJ}^*(2317), D_{sJ}(2460) states whose unexpected properties have led to renewed interest in hadron spectroscopy.Comment: 7 pages. Some additional discussion and reference

Diversify or focus: spending to combat infectious diseases when budgets are tight

We consider a health authority seeking to allocate annual budgets optimally over time to minimize the discounted social cost of infection(s) evolving in a finite set of R >= 2 groups. This optimization problem is challenging, since as is well known, the standard epidemiological model describing the spread of disease (SIS) contains a nonconvexity. Standard continuous-time optimal control is of little help, since a phase diagram is needed to address the nonconvexity and this diagram is 2R dimensional (a costate and state variable for each of the R groups). Standard discrete-time dynamic programming cannot be used either, since the minimized cost function is neither concave nor convex globally. We modify the standard dynamic programming algorithm and show how familiar, elementary arguments can be used to reach conclusions about the optimal policy with any finite number of groups. We show that under certain conditions it is optimal to focus the entire annual budget on one of the R groups at a time rather than divide it among several groups, as is often done in practice; faced with two identical groups whose only difference is their starting level of infection, it is optimal to focus on the group with fewer sick people. We also show that under certain conditions it remains optimal to focus on one group when faced with a wealth constraint instead of an annual budget.public health spending; nonconvexity; dynamic programming

The synthesis and oxidation of some n-amino compounds

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