715 results on '"Baralis, Elena"'
Search Results
302. Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs
303. Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer
304. Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series
305. Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density
306. Multiple-Source Adaptation Using Variational Rényi Bound Optimization
307. Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching
308. Detecting Evasion Attacks in Deployed Tree Ensembles
309. Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
310. Sparse Transformer Hawkes Process for Long Event Sequences
311. Exploring and Exploiting Data-Free Model Stealing
312. Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting
313. Estimating Dynamic Time Warping Distance Between Time Series with Missing Data
314. MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data
315. Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis
316. Online Deep Hybrid Ensemble Learning for Time Series Forecasting
317. Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance
318. DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction
319. Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration
320. Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations
321. BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning
322. Boosting Object Representation Learning via Motion and Object Continuity
323. Equivariant Representation Learning in the Presence of Stabilizers
324. Learning Geometric Representations of Objects via Interaction
325. Hypernetworks Build Implicit Neural Representations of Sounds
326. Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
327. Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes
328. On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation
329. Contrastive Representation Through Angle and Distance Based Loss for Partial Label Learning
330. Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
331. Filtered Observations for Model-Based Multi-agent Reinforcement Learning
332. Learning Disentangled Discrete Representations
333. Invariant Lipschitz Bandits: A Side Observation Approach
334. Learning Hierarchical Planning-Based Policies from Offline Data
335. Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition
336. On the Distributional Convergence of Temporal Difference Learning
337. News Recommendation via Jointly Modeling Event Matching and Style Matching
338. BalancedQR: A Framework for Balanced Query Recommendation
339. Offline Reinforcement Learning with On-Policy Q-Function Regularization
340. ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation
341. Learning Graphical Factor Models with Riemannian Optimization
342. Long-Tail Augmented Graph Contrastive Learning for Recommendation
343. Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms
344. Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks
345. A Scalable Solution for the Extended Multi-channel Facility Location Problem
346. NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networks
347. ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction
348. Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach
349. Neural Class Expression Synthesis in
350. Improved Multi-label Propagation for Small Data with Multi-objective Optimization
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