Ser Nam Lim

23 papers · 2017–2024 · 4 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🗺️ Taxonomy Completionist (60)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🚀 Conference Pioneer 💎 Century Club (23) 🗃️ Keyword Collector (110) ⚡ Prolific Year (5) 🔥 Unstoppable (5)

Conferences

NIPS (18) CVPR (2) ICCV (2) ECCV (1)

Top co-authors

Aaron Lou (3) Isay Katsman (3) Derek Lim (3) Philip Torr (3) Christopher M De Sa (3) Mustafa Gokhan Uzunbas (2) Yifei Zhou (2) Swami Sankaranarayanan (2) Qingxuan Jiang (2) Ser-Nam Lim (2)

Keywords

semantic segmentation (2) self-supervised learning (2) out-of-distribution detection (2) test-time adaptation (2) manifold learning (2) model compression (2) data augmentation (2) generative model (2) video denoising (2) representation learning (2) reinforcement learning (1) domain generalization (1) image generation (1) domain adaptation (1) contrastive learning (1) federated learning (1) few-shot learning (1) object detection (1) vision transformer (1) function approximation (1)

Papers

Label Delay in Online Continual Learning NIPS 2024 AirSketch: Generative Motion to Sketch NIPS 2024 Riemannian Residual Neural Networks NIPS 2023 Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements NIPS 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-language Models NIPS 2023 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022 FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NIPS 2022 GAPX: Generalized Autoregressive Paraphrase-Identification X NIPS 2022 Spartan: Differentiable Sparsity via Regularized Transportation NIPS 2022 Few-Shot Fast-Adaptive Anomaly Detection NIPS 2022 HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions NIPS 2022 Learning to Ground Multi-Agent Communication with Autoencoders NIPS 2021 NeRV: Neural Representations for Videos NIPS 2021 Equivariant Manifold Flows NIPS 2021 A Continuous Mapping For Augmentation Design NIPS 2021 Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods NIPS 2021 Better Set Representations For Relational Reasoning NIPS 2020 Neural Manifold Ordinary Differential Equations NIPS 2020 Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation CVPR 2018 DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation ECCV 2018 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 Adaptive RNN Tree for Large-Scale Human Action Recognition ICCV 2017 Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks ICCV 2017