Francois Fleuret

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging ICLR 2025 Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences ICLR 2025 Efficient World Models with Context-Aware Tokenization ICML 2024 DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024 Localizing Task Information for Improved Model Merging and Compression ICML 2024 ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields CVPR 2023 Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models ICML 2023 Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention NIPS 2023 SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics NIPS 2023 HyperMixer: An MLP-based Low Cost Alternative to Transformers ACL 2023 Transformers are Sample-Efficient World Models ICLR 2023 Agree to Disagree: Diversity through Disagreement for Better Transferability ICLR 2023 Efficient Training of Low-Curvature Neural Networks NIPS 2022 GeoNeRF: Generalizing NeRF With Geometry Priors CVPR 2022 Flowification: Everything is a normalizing flow NIPS 2022 Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability ICLR 2021 Taming GANs with Lookahead-Minmax ICLR 2021 Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021 Language Models are Few-Shot Butlers EMNLP 2021 DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation ICCV 2021 Fast Transformers with Clustered Attention NIPS 2020 On the importance of pre-training data volume for compact language models EMNLP 2020 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning ICML 2020 Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention ICML 2020 Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019 Full-Gradient Representation for Neural Network Visualization NIPS 2019 Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo ICCV 2019 Processing Megapixel Images with Deep Attention-Sampling Models ICML 2019 Knowledge Transfer with Jacobian Matching ICML 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 Kronecker Recurrent Units ICML 2018 SGAN: An Alternative Training of Generative Adversarial Networks CVPR 2018 Geodesic Convolutional Shape Optimization ICML 2018 Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching NIPS 2018 WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection CVPR 2018 Social Scene Understanding: End-To-End Multi-Person Action Localization and Collective Activity Recognition CVPR 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017 Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection ICCV 2017 Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction ICCV 2017 Non-Markovian Globally Consistent Multi-Object Tracking ICCV 2017 A Sub-Quadratic Exact Medoid Algorithm AISTATS 2017 K-Medoids For K-Means Seeding NIPS 2017 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016 Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016 Nested Mini-Batch K-Means NIPS 2016 Jointly Informative Feature Selection Made Tractable by Gaussian Modeling JMLR 2016 Fast k-means with accurate bounds ICML 2016 Kullback-Leibler Proximal Variational Inference NIPS 2015 Probability Occupancy Maps for Occluded Depth Images CVPR 2015 Efficient Sample Mining for Object Detection ACML 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Jointly Informative Feature Selection AISTATS 2014 Adaptive Sampling for Large Scale Boosting JMLR 2014 Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013 Fast Object Detection with Entropy-Driven Evaluation CVPR 2013 Boosting with Maximum Adaptive Sampling NIPS 2011 Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010 Stationary Features and Cat Detection JMLR 2008 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004