Freddy Lecue
24 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Renaissance Researcher
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Taxonomy Completionist
(45)
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Prolific Year
(10)
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Century Club
(24)
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(101)
β
The Questioner
(2)
Conferences
AAAI (6)
IJCAI (5)
NIPS (4)
COLING (2)
ICML (2)
ACL (1)
EACL (1)
EMNLP (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
knowledge graph
(4)
transfer learning
(2)
semantic embedding
(2)
visual question answering
(2)
link prediction
(1)
metric learning
(1)
causal inference
(1)
object recognition
(1)
reinforcement learning
(1)
scene classification
(1)
feature selection
(1)
logistic regression
(1)
deformable convolution
(1)
knowledge transfer
(1)
multimodal learning
(1)
commonsense knowledge
(1)
pac learning
(1)
multi-modal learning
(1)
feature importance
(1)
sequence modeling
(1)
Papers
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
ICML 2025
Interpreting Language Reward Models via Contrastive Explanations
ICLR 2025
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
NIPS 2024
Sequential Harmful Shift Detection Without Labels
NIPS 2024
Causal Analysis for Robust Interpretability of Neural Networks
WACV 2024
Fair Wasserstein Coresets
NIPS 2024
Knowledge-Aware Neuron Interpretation for Scene Classification
AAAI 2024
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features
AAAI 2024
TacoERE: Cluster-aware Compression for Event Relation Extraction
COLING 2024
Better Explain Transformers by Illuminating Important Information
EACL 2024
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
ICML 2024
Are Logistic Models Really Interpretable?
IJCAI 2024
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
NIPS 2023
Trigger-Argument based Explanation for Event Detection
ACL 2023
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
AAAI 2022
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)
AAAI 2022
Towards Knowledge-Augmented Visual Question Answering
COLING 2020
ConceptBert: Concept-Aware Representation for Visual Question Answering
EMNLP 2020
Human-in-the-Loop Feature Selection
AAAI 2019
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines
AAAI 2019
Augmenting Transfer Learning with Semantic Reasoning
IJCAI 2019
Learning from Ontology Streams with Semantic Concept Drift
IJCAI 2017
Scalable Maintenance of Knowledge Discovery in an Ontology Stream
IJCAI 2015
Predicting Knowledge in an Ontology Stream
IJCAI 2013