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Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
Quantization based Fast Inner Product Search AISTATS 2016
Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016
Robust Covariate Shift Regression AISTATS 2016
Communication Efficient Distributed Agnostic Boosting AISTATS 2016
Private Causal Inference AISTATS 2016
NYTRO: When Subsampling Meets Early Stopping AISTATS 2016
Exploring Text Links for Coherent Multi-Document Summarization COLING 2016
Frustratingly Easy Neural Domain Adaptation COLING 2016
Ranking Responses Oriented to Conversational Relevance in Chat-bots COLING 2016
Analyzing Gender Bias in Student Evaluations COLING 2016
Extracting Discriminative Keyphrases with Learned Semantic Hierarchies COLING 2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016
A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature COLING 2016
Extraction of Keywords of Novelties From Patent Claims COLING 2016
Fast Gated Neural Domain Adaptation: Language Model as a Case Study COLING 2016
Recurrent Dropout without Memory Loss COLING 2016
Pre-Translation for Neural Machine Translation COLING 2016
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING 2016
Joint Learning of Local and Global Features for Entity Linking via Neural Networks COLING 2016
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings COLING 2016
Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization COLING 2016