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Yiting Chen

14 papers · 2021–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (35) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸ‘‘ Triple Crown
⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (82)

Venues

NeurIPS (5) ICLR (4) CoRL (2) CVPR (1) ICML (1) RSS (1)

Top co-authors

Junchi Yan (8) Yi-Ting Chen (3) Qitian Wu (3) Zhanpeng Zhou (2) Xiaokang Yang (1) Robert Seney (1) Kaiyu Hang (1) Winston H. Hsu (1) Xu Cheng (1) Meng Zhou (1)

Research topics

Machine Learning (13) Artificial Intelligence (7) Deep Learning (7) Core AI (7) Learning Types (6) Optimization & Theory (6) Application Areas (4) Architectures (4) Core Methods (3) Computer Vision (2) Analysis (2) Models (2) Techniques (2) Natural Language Processing (1) Reinforcement Learning (1)

Keywords

ood detection (2) convolutional neural network (2) representation learning (1) few-shot learning (1) imitation learning (1) robotic manipulation (1) anomaly detection (1) multimodal learning (1) game theory (1) gradient-based optimization (1) optimal transport (1) self-supervised learning (1) attention mechanism (1) visual object tracking (1) data augmentation (1) domain adaptation (1) semantic analysis (1) autonomous driving (1) policy learning (1) adversarial robustness (1)

Papers

Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation RSS 2025 AED: Adaptable Error Detection for Few-shot Imitation Policy NeurIPS 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory ICLR 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information NeurIPS 2024 Energy-based Out-of-Distribution Detection for Graph Neural Networks ICLR 2023 SCONE: A Food Scooping Robot Learning Framework with Active Perception CoRL 2023 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023 Learning Road Scene-level Representations via Semantic Region Prediction CoRL 2022 Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain NeurIPS 2022 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness NeurIPS 2021