717 results on '"Simon S."'
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2. Decomposed Attention Segment Recurrent Neural Network for Orbit Prediction.
3. An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
4. Reflect-RL: Two-Player Online RL Fine-Tuning for LMs.
5. Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images Under Image Degradation.
6. Optimal Multi-Distribution Learning.
7. Settling the sample complexity of online reinforcement learning.
8. STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction.
9. Saliency-Aware Time Series Anomaly Detection for Space Applications.
10. SEE: Spherical Embedding Expansion for Improving Deep Metric Learning.
11. Relation-Aware Label Smoothing for Self-KD.
12. Revisiting 30 years of the Network Time Protocol.
13. Action Attention GRU: A Data-Driven Approach for Enhancing Purchase Predictions in Digital Marketing.
14. RAAD: Reinforced Adversarial Anomaly Detector.
15. All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models.
16. Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation.
17. Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication.
18. Real-Time User-guided Adaptive Colorization with Vision Transformer.
19. Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract).
20. Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning.
21. Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron.
22. Blessing of Class Diversity in Pre-training.
23. IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation.
24. KID34K: A Dataset for Online Identity Card Fraud Detection.
25. Towards Understanding of Deepfake Videos in the Wild.
26. UNDO: Effective and Accurate Unlearning Method for Deep Neural Networks.
27. SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection.
28. Hand Bone X-rays Segmentation and Congregation for Age Assessment using Deep Learning.
29. HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation.
30. Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular Degeneration.
31. S-ViT: Sparse Vision Transformer for Accurate Face Recognition.
32. Rotated-DETR: an End-to-End Transformer-based Oriented Object Detector for Aerial Images.
33. MGCMA: Multi-scale Generator with Channel-wise Mask Attention to generate Synthetic Contrast-enhanced Chest Computed Tomography.
34. Exploiting Inconsistencies in Object Representations for Deepfake Video Detection.
35. Why Do Facial Deepfake Detectors Fail?
36. CFL-Net: Image Forgery Localization Using Contrastive Learning.
37. Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies.
38. Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack.
39. BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos.
40. Efficient Two-stage Model Retraining for Machine Unlearning.
41. Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series.
42. RCRL: Replay-based Continual Representation Learning in Multi-task Super-Resolution.
43. Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games.
44. Gap-Dependent Bounds for Two-Player Markov Games.
45. Evading Deepfake Detectors via High Quality Face Pre-Processing Methods.
46. Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability.
47. Sliding Cross Entropy for Self-Knowledge Distillation.
48. Selective Tensorized Multi-layer LSTM for Orbit Prediction.
49. Samba: Identifying Inappropriate Videos for Young Children on YouTube.
50. Accelerating CNN via Dynamic Pattern-based Pruning Network.
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