552 results on '"Jinwoo Shin"'
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152. A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
153. Learning to Specialize with Knowledge Distillation for Visual Question Answering.
154. Hierarchical Novelty Detection for Visual Object Recognition.
155. Gauged Mini-Bucket Elimination for Approximate Inference.
156. Bucket Renormalization for Approximate Inference.
157. Lookahead: A Far-sighted Alternative of Magnitude-based Pruning.
158. Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.
159. Time-Reversal Symmetric ODE Network.
160. Guiding Deep Molecular Optimization with Genetic Exploration.
161. Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning.
162. Learning Bounds for Risk-sensitive Learning.
163. Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning.
164. Learning from Failure: De-biasing Classifier from Biased Classifier.
165. CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances.
166. Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
167. Consistency Regularization for Certified Robustness of Smoothed Classifiers.
168. Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs.
169. OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data.
170. Consistency Regularization for Adversarial Robustness.
171. Model-Augmented Q-learning.
172. Consistency and Monotonicity Regularization for Neural Knowledge Tracing.
173. Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing.
174. DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing.
175. Abstract Reasoning via Logic-guided Generation.
176. Random Features for the Neural Tangent Kernel.
177. Simulation-Based Distributed Coordination Maximization Over Networks.
178. Information source localization with protector diffusion in networks.
179. Gauging Variational Inference.
180. Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models.
181. Rumor source detection under querying with untruthful answers.
182. Incentivizing strategic users for social diffusion: Quantity or quality?
183. On the Delay Scaling Laws of Cache Networks.
184. Adiabatic Persistent Contrastive Divergence learning.
185. Faster Greedy MAP Inference for Determinantal Point Processes.
186. Confident Multiple Choice Learning.
187. Multi-armed Bandit with Additional Observations.
188. Recent developments in carbon dots: a biomedical application perspective
189. InstaGAN: Instance-aware Image-to-Image Translation.
190. Optimal Inference in Crowdsourced Classification via Belief Propagation.
191. Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality.
192. Game Theoretic Perspective of Optimal CSMA.
193. Development of Hydrogen Flow Field Standard in Hydrogen Refueling Station
194. i-Mix: A Strategy for Regularizing Contrastive Representation Learning.
195. Learning to Generate Noise for Robustness against Multiple Perturbations.
196. Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
197. Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.
198. Minimum Width for Universal Approximation.
199. QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning.
200. Provable Memorization via Deep Neural Networks using Sub-linear Parameters.
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