Papers
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees
Alexander Bagnall, Gordon Stewart
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou et al.
Challenges in the Automatic Analysis of Students’ Diagnostic Reasoning
Claudia Schulz, Christian M. Meyer, Iryna Gurevych
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant et al.
Character n-Gram Embeddings to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko et al.
Chinese NER with Height-Limited Constituent Parsing
Rui Wang, Xin Xin, Wei Chang et al.
CircConv: A Structured Convolution with Low Complexity
Siyu Liao, Bo Yuan
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting
Jing Xiao, Liang Liao, Qiegen Liu et al.
Clairvoyant Restarts in Branch-and-Bound Search Using Online Tree-Size Estimation
Daniel Anderson, Gregor Hendel, Pierre Le Bodic et al.
Classification with Costly Features Using Deep Reinforcement Learning
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
Classifier-Agnostic Saliency Map Extraction
Konrad Zołna, Krzysztof J. Geras, Kyunghyun Cho
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets
Athar Sefid, Jian Wu, Allen C. Ge et al.
Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima, Miao Xu, Issei Sato et al.
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin et al.
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen et al.
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych
Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu, Xi Zhang, Xiao Shu
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
Kohei Miyaguchi, Hiroshi Kajino
Collaboration Based Multi-Label Learning
Lei Feng, Bo An, Shuo He
Collaborative, Dynamic and Diversified User Profiling
Shangsong Liang
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low et al.
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks et al.
Combined Reinforcement Learning via Abstract Representations
Vincent Francois-Lavet, Yoshua Bengio, Doina Precup et al.
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji et al.