conftrace_

Thomas Serre

35 papers · 2013–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (50) 🏠 Conference Loyalist (21) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (13) πŸ† Keyword Champion πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (127) πŸ’Ž Century Club (35) πŸ”₯ Unstoppable (8) ❓ The Questioner (4)

Conferences

NIPS (21) ICLR (7) CVPR (3) ICML (2) WACV (2)

Papers

Tracking objects that change in appearance with phase synchrony ICLR 2025 The 3D-PC: a benchmark for visual perspective taking in humans and machines ICLR 2025 RTify: Aligning Deep Neural Networks with Human Behavioral Decisions NIPS 2024 Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects NIPS 2024 Saliency strikes back: How filtering out high frequencies improves white-box explanations ICML 2024 Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024 Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks NIPS 2024 Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? ICML 2023 CRAFT: Concept Recursive Activation FacTorization for Explainability CVPR 2023 Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis CVPR 2023 GAMR: A Guided Attention Model for (visual) Reasoning ICLR 2023 Computing a human-like reaction time metric from stable recurrent vision models NIPS 2023 Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex NIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization NIPS 2023 Break It Down: Evidence for Structural Compositionality in Neural Networks NIPS 2023 A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation NIPS 2023 Learning Functional Transduction NIPS 2023 How and What To Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition WACV 2022 What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods NIPS 2022 Meta-Reinforcement Learning with Self-Modifying Networks NIPS 2022 Harmonizing the object recognition strategies of deep neural networks with humans NIPS 2022 Diversity vs. Recognizability: Human-like generalization in one-shot generative models NIPS 2022 A Benchmark for Compositional Visual Reasoning NIPS 2022 How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks WACV 2022 Go with the flow: Adaptive control for Neural ODEs ICLR 2021 Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis NIPS 2021 Tracking Without Re-recognition in Humans and Machines NIPS 2021 Stable and expressive recurrent vision models NIPS 2020 Recurrent neural circuits for contour detection ICLR 2020 Disentangling neural mechanisms for perceptual grouping ICLR 2020 Learning what and where to attend ICLR 2019 Learning long-range spatial dependencies with horizontal gated recurrent units NIPS 2018 How Deep is the Feature Analysis underlying Rapid Visual Categorization? NIPS 2016 The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014 Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS 2013