Joao Monteiro
13 papers · 2019–2026 · 7 venues · across top CS/AI venues
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out-of-distribution detection
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representation learning
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anomaly detection
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adversarial robustness
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self-supervised learning
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metric learning
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large language model
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document understanding
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generative adversarial network
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knowledge distillation
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embedding learning
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uncertainty quantification
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curriculum learning
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robust classification
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benchmark evaluation
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multimodal learning
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benchmark suite
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language modeling
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question answering
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Papers
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
NeurIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NeurIPS 2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
EMNLP 2024
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
NeurIPS 2023
Constraining Representations Yields Models That Know What They Don't Know
ICLR 2023
Group Robust Classification Without Any Group Information
NeurIPS 2023
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification
UAI 2022
An end-to-end approach for the verification problem: learning the right distance
ICML 2020
Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning
Interspeech 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators
ICML 2019
On-Line Adaptative Curriculum Learning for GANs
AAAI 2019