Fernando Pereira
33 papers · 2003–2021 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Full π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(9)
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(81)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(9)
Optimization & Theory
(7)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Paradigms
(2)
Keywords
online learning
(3)
confidence-weighted learning
(3)
empirical risk minimization
(2)
linear classifier
(2)
learning bound
(2)
target domain
(2)
source domain
(2)
gaussian distribution
(2)
domain adaptation
(2)
convex optimization
(2)
approximate inference
(1)
sparse coding
(1)
sparse representation
(1)
perceptron
(1)
structured prediction
(1)
dimensionality reduction
(1)
visual representation
(1)
image classification
(1)
unsupervised tagging
(1)
face recognition
(1)
Papers
Multi-Perspective LSTM for Joint Visual Representation Learning
CVPR 2021
Faithful Embeddings for Knowledge Base Queries
NeurIPS 2020
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
NAACL 2018
Collective Entity Resolution with Multi-Focal Attention
ACL 2016
Confidence-Weighted Linear Classification for Text Categorization
JMLR 2012
Reading The Web with Learned Syntactic-Semantic Inference Rules
EMNLP 2012
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
ACL 2011
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
EMNLP 2010
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
ACL 2010
Exploiting Feature Covariance in High-Dimensional Online Learning
AISTATS 2010
Sparsity in Dependency Grammar Induction
ACL 2010
Group Sparse Coding
NeurIPS 2009
Posterior vs Parameter Sparsity in Latent Variable Models
NeurIPS 2009
Exact Convex Confidence-Weighted Learning
NeurIPS 2008
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis
COLING 2008
Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
EMNLP 2008
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
ACL 2007
Euclidean Embedding of Co-occurrence Data
JMLR 2007
Frustratingly Hard Domain Adaptation for Dependency Parsing
EMNLP 2007
Learning Bounds for Domain Adaptation
NeurIPS 2007
Structured Learning with Approximate Inference
NeurIPS 2007
The Need for Open Source Software in Machine Learning
JMLR 2007
A Context Pattern Induction Method for Named Entity Extraction
CoNLL 2006
Analysis of Representations for Domain Adaptation
NeurIPS 2006
Domain Adaptation with Structural Correspondence Learning
EMNLP 2006
Multilingual Dependency Analysis with a Two-Stage Discriminative Parser
CoNLL 2006
Online Learning of Approximate Dependency Parsing Algorithms
EACL 2006
Flexible Text Segmentation with Structured Multilabel Classification
EMNLP 2005
Gaussian Margin Machines
AISTATS 2005
Non-Projective Dependency Parsing using Spanning Tree Algorithms
EMNLP 2005
Online Large-Margin Training of Dependency Parsers
ACL 2005
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
ACL 2005
Shallow Parsing with Conditional Random Fields
NAACL 2003