ICLR 2019 Workshop LLD Submissions

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels
Anonymous, ,
- 25 Mar 2019 (modified: 22 Oct 2023)
- Submitted to LLD 2019
- Readers: Everyone
Deep Generative Inpainting with Comparative Sample Augmentation
Boli Fang, Miao Jiang, Jerry Shen, Bjord Stenger
- 25 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
SHREWD: Semantic Hierarchy Based Relational Embeddings For Weakly-Supervised Deep Hashing
Heikki Arponen, Tom E Bishop
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
INCORPORATING BILINGUAL DICTIONARIES FOR LOW RESOURCE SEMI-SUPERVISED NEURAL MACHINE TRANSLATION
Mihir Kale, Sreyashi Nag, Varun Lakshinarasimhan, Swapnil Singhavi
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
Hsiao-Yu Tung, Ricson Cheng, Katerina Fragkiadaki
- Published: 17 Apr 2019, Last Modified: 22 Oct 2023
- LLD 2019
- Readers: Everyone
Interactions between Representation Learning and Supervision
Valliappa Chockalingam
- 25 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Few-Shot Regression via Learned Basis Functions
Yi Loo, Swee Kiat Lim, Gemma Roig, Ngai-Man Cheung
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Weak Supervision for Time Series: Wearable Sensor Classification with Limited Labeled Data
Saelig Khattar, Hannah O’Day, Paroma Varma, Jason Fries, Jen Hicks, Scott Delp, Helen Bronte-Stewart, Chris Re
- 25 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Learnability for the Information Bottleneck
Tailin Wu, Ian Fischer, Isaac Chuang, Max Tegmark
- Published: 17 Apr 2019, Last Modified: 22 Oct 2023
- LLD 2019
- Readers: Everyone
Improving Sample Complexity with Observational Supervision
Khaled Saab, Jared Dunnmon, Alexander Ratner, Daniel Rubin, Christopher Re
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Parallel Recurrent Data Augmentation for GAN training with Limited and Diverse Data
Boli Fang, Miao Jiang
- 25 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
A Pseudo-Label Method for Coarse-to-Fine Multi-Label Learning with Limited Supervision
Cheng-Yu Hsieh, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Data Interpolating Prediction: Alternative Interpretation of Mixup
Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Data for free: Fewer-shot algorithm learning with parametricity data augmentation
Owen Lewis, Katherine Hermann
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly*, Aurick Zhou*, Deirdre Quillen, Chelsea Finn, Sergey Levine
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
Amirmohammad Rooshenas, Dongxu Zhang, Gopal Sharma, Andrew McCallum
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Efficient Receptive Field Learning by Dynamic Gaussian Structure
Evan Shelhamer, Dequan Wang, Trevor Darrell
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Multi-Class Few Shot Learning Task and Controllable Environment
Dmitriy Serdyuk, Negar Rostamzadeh, Pedro Oliveira Pinheiro, Boris Oreshkin, Yoshua Bengio
- 24 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Learning To Avoid Negative Transfer in Few Shot Transfer Learning
James O' Neill
- 24 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Siamese Capsule Networks
James O' Neill
- 24 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Automatic Labeling of Data for Transfer Learning
Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, John Kender, Brian Belgodere
- 24 Mar 2019 (modified: 05 May 2023)
- Submitted to LLD 2019
- Readers: Everyone
Enhancing experimental signals in single-cell RNA-sequencing data using graph signal processing
Daniel B. Burkhardt, Jay S. Stanley III, Ana Luisa Perdigoto, Scott A. Gigante, Kevan C. Herold, Guy Wolf, Antonio J. Giraldez, David van Dijk, Smita Krishnaswamy
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Data Augmentation for Rumor Detection Using Context-Sensitive Neural Language Model With Large-Scale Credibility Corpus
Sooji Han, Jie Gao, Fabio Ciravegna
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone
Unsupervised Continual Learning and Self-Taught Associative Memory Hierarchies
James Smith, Seth Baer, Zsolt Kira, Constantine Dovrolis
- Published: 17 Apr 2019, Last Modified: 05 May 2023
- LLD 2019
- Readers: Everyone