Ni Lao
12 papers · 2010–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half
π§
Keyword Pioneer
π
Trend Setter
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Natural Language Processing
(4)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
image classification
(3)
semantic parsing
(2)
transfer learning
(2)
contrastive learning
(1)
policy optimization
(1)
cross-lingual transfer
(1)
zero-shot learning
(1)
policy gradient
(1)
relational learning
(1)
symbolic reasoning
(1)
self-supervised learning
(1)
multilingual nlp
(1)
text generation
(1)
question answering
(1)
structured prediction
(1)
reinforcement learning
(1)
program synthesis
(1)
weak supervision
(1)
knowledge base
(1)
representation learning
(1)
Papers
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
ICML 2024
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
NeurIPS 2024
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
ICML 2023
RARR: Researching and Revising What Language Models Say, Using Language Models
ACL 2023
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval
NAACL 2022
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
NeurIPS 2018
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
ACL 2017
Learning Relational Features with Backward Random Walks
ACL 2015
Reading The Web with Learned Syntactic-Semantic Inference Rules
EMNLP 2012
Random Walk Inference and Learning in A Large Scale Knowledge Base
EMNLP 2011
Efficient Relational Learning with Hidden Variable Detection
NeurIPS 2010