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Score-Based Generative Classifiers
[article]
2021
arXiv
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We show that these models not only obtain competitive likelihood values but simultaneously achieve state-of-the-art classification accuracy for generative classifiers on CIFAR-10. ...
Additionally, on natural image datasets, previous results have suggested a trade-off between the likelihood of the data and classification accuracy. ...
Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020 ...
arXiv:2110.00473v2
fatcat:6yer6cgkxnbf7kg2m2xmxjtre4
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
[article]
2021
arXiv
pre-print
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For non-asymptotic regimes, we show via simulations that the GLRT defense is competitive with the minimax approach under the worst-case attack, while yielding a better robustness-accuracy tradeoff under ...
, jointly estimating the class of interest and the adversarial perturbation. ...
tional Conference on Learning Representations, ICLR 2018, Vancouver, on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, ser. ...
arXiv:2112.02209v1
fatcat:7lh3gixnd5e7zh3b44qnwiyxdy
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
[article]
2022
arXiv
pre-print
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In this way, AdaSubS benefits from the efficiency of planning with longer subgoals and the fine control with the shorter ones. ...
A verification mechanism is employed to filter out unreachable subgoals swiftly and thus allowing to focus on feasible further subgoals. ...
Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020,
virtual, 2020.
10
[26] Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou ...
arXiv:2206.00702v2
fatcat:fj4x4hljtvcdlm53nxkqcbhvua
Which images to label for few-shot medical landmark detection?
[article]
2021
arXiv
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The advantage of SCP is demonstrated by various experiments on three widely-used public datasets. ...
Few-shot learning is developed to alleviate this burden, which achieves competitive performances with only several labeled data. ...
In the ference on Neural Information Processing Systems 2020,
future, we plan to further improve the efficiency and ac- NeurIPS 2020, December 6-12, 2020, virtual, 2020 ...
arXiv:2112.04386v2
fatcat:ajn62lhsz5bl7hruzmujcntc3u
Neural Network Module Decomposition and Recomposition
[article]
2021
arXiv
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We demonstrate that the proposed method can decompose and recompose DNNs with high compression ratio and high accuracy and is superior to the existing method through sharing weights between modules. ...
Decomposed modules are expected to have the advantages of interpretability and verifiability due to their small size. ...
In Advances in Neural Information Processing Systems 32:
Annual Conference on Neural Information Processing Sys-
tems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver,
BC, Canada, 3592–3602. ...
arXiv:2112.13208v1
fatcat:zcccxh6nmrberacsaj3b5ct4vi
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
[article]
2021
arXiv
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We further demonstrate how this model's generation quality is on par with state-of-the-art generative models while being faithful to the representation used as conditioning. ...
Processing Systems 2020, NeurIPS 2020, December 6-12,
2020, virtual, 2020. ...
Processing Systems 2020, NeurIPS 2020, December 6-12,
2020, virtual, 2020. ...
arXiv:2112.09164v1
fatcat:6lk3n7w3crbgpomjdjanm7xhju
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
[article]
2021
arXiv
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We then use TeachMyAgent to conduct a comparative study of representative existing approaches, showcasing the competitiveness of some ACL algorithms that do not use expert knowledge. ...
It includes 1) challenge-specific unit-tests using variants of a procedural Box2D bipedal walker environment, and 2) a new procedural Parkour environment combining most ACL challenges, making it ideal ...
.), Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020. ...
arXiv:2103.09815v2
fatcat:qtsp6ghsgrd47fwgznnqdwrtsu
What to Pre-Train on? Efficient Intermediate Task Selection
[article]
2021
arXiv
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We experiment with a diverse set of 42 intermediate and 11 target English classification, multiple choice, question answering, and sequence tagging tasks. ...
Our best methods achieve an average Regret@3 of less than 1% across all target tasks, demonstrating that we are able to efficiently identify the best datasets for intermediate training. ...
We thank Leonardo Ribeiro and the anonymous reviewers for insightful feedback and suggestions on a draft of this paper. ...
arXiv:2104.08247v2
fatcat:4ljcfshev5f3tmgugrrrkh3s4m
Evaluation of Socially-Aware Robot Navigation
2022
Frontiers in Robotics and AI
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As mobile robots are increasingly introduced into our daily lives, it grows ever more imperative that these robots navigate with and among people in a safe and socially acceptable manner, particularly ...
As an effort to aid more productive development and progress comparisons, in this paper we review the evaluation methods, scenarios, datasets, and metrics commonly used in previous socially-aware navigation ...
“SocioSense: Robot Navigation Amongst Pedestrians with Social and Psychological Constraints,” in IEEE International Conference on Intelligent Robots and Systems, Vancouver, BC, Canada, 24-28 Sept. 2017 ...
doi:10.3389/frobt.2021.721317
pmid:35096978
pmcid:PMC8791647
fatcat:egddc7tddbhj7hyevenemyh6pi
Moreau-Yosida f-divergences
[article]
2021
arXiv
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2021 pre-print arXiv:2102.13416v1 fatcat:ve3sgmdgmzflrp7skkp53twuam
total variation divergences as GANs trained on CIFAR-10, leading to competitive results and a simple solution to the problem of uniqueness of the optimal critic. ...
The corresponding variational formulas provide a generalization of a number of recent results, novel special cases of interest and a relaxation of the hard Lipschitz constraint. ...
.), Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, pp. 413-422, 2019. ...
arXiv:2102.13416v2
fatcat:qn3y27yxirdihbeulitinlbkfe
Double Sampling Randomized Smoothing
[article]
2022
arXiv
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We instantiate DSRS for a generalized family of Gaussian smoothing and propose an efficient and sound computing method based on customized dual optimization considering sampling error. ...
Extensive experiments on MNIST, CIFAR-10, and ImageNet verify our theory and show that DSRS certifies larger robust radii than existing baselines consistently under different settings. ...
This work is partially supported by NSF grant No.1910100, NSF CNS No.2046726, C3 AI, and the Alfred P. Sloan Foundation. ...
arXiv:2206.07912v2
fatcat:axqzuupezjfulgdw2bojlexqoa
Jigsaw: Large Language Models meet Program Synthesis
[article]
2021
arXiv
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We view these developments with a mixture of optimism and caution. ...
In this paper, we present an approach to augment these large language models with post-processing steps based on program analysis and synthesis techniques, that understand the syntax and semantics of programs ...
, NeurIPS 2020, December 6-12, 2020,
8 CONCLUSION AND FUTURE WORK virtual, Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina ...
arXiv:2112.02969v1
fatcat:kjdac665kzhthldiqckru3in3u
Towards Explainable Fact Checking
[article]
2021
arXiv
pre-print
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, and, very recently, by legislation requiring online platforms operating in the EU to provide transparent reporting on their services. ...
This thesis presents my research on automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction. ...
In: The 3rd NeurIPS Workshop on Conversational AI.
Vancouver, Canada. url: http://alborz- geramifard.com/workshops/neurips19-
Conversational-AI/Papers/6.pdf
30. ...
arXiv:2108.10274v2
fatcat:5s4an6irezcjfmvvhmiaeqarh4
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
[article]
2020
arXiv
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Experiments demonstrate it achieves state-of-the-art performance on all 12 downstream datasets measured by ROUGE scores. ...
We evaluated our best PEGASUS model on 12 downstream summarization tasks spanning news, science, stories, instructions, emails, patents, and legislative bills. ...
, and Samy Bengio for reviewing the manuscript. ...
arXiv:1912.08777v3
fatcat:sniaydtda5a35pgyugitvcjtpy
Διερεύνηση της γεωλογικής δομής και της τεκτονικής παραμόρφωσης της Σερβομακεδονικής Μάζας στα όρη των Κερδυλλίων και Βερτίσκου (Βόρεια Ελλάδα)
2020
Preserved Fulltext
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Six deformational events (D1-D6) were i [...] ...
The study area is located in northern Greece and occupies the Vertiskos and Kerdyllion Mountains. ...
In Advances in Neural
Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019,
NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada, pages 5754–5764. ...
doi:10.26262/heal.auth.ir.327189
fatcat:snneggenqzdnvbl7kn7zpztqqq