05:00
ICCV2023 Unsupervised Accuracy Estimation without Source Samples
05:15
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
56:13
DeepSeek-R1 Paper Review
37:18
PR 488: Consistency-diversity-realism Pareto fronts of conditional image generative models
37:26
PR-476: A General Theoretical Paradigm to Understand Learning from Human Preferences (IPO)
30:13
PR-464: OpenChat: Advancing Open-Source Language Models with Mixed-Quality Data
37:12
PR-453: Direct Preference Optimization
26:00
PR-440: Scaling Transformer to 1M tokens and beyond with RMT
38:32
PR-425: InstructGPT (+ChatGPT)
36:11
PR-418: What learning algorithm is in-context learning? Investigations with linear models
35:14
PR-407: DINE: Domain Adaptation from Single and Multiple Black-box Predictors
36:34
PR-398: Unsupervised Semantic Segmentation by Distilling Feature Correspondences
45:39
PR-390: A Generalist Agent
48:32
PR-380: Textless Speech Emotion Conversion using Discrete and Decomposed Representations
46:48
PR-369: Multi-Task Self-Training for Learning General Representations
57:06
PR-359: Audio-Visual Instance Discrimination with Cross-Modal Agreement
46:06
PR-347: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting... (PAWS)
33:09
PR-334: CMT: Convolutional Neural Networks Meet Vision Transformers
41:45
PR-321: Are Pre-trained Convolutions Better than Pre-trained Transformers?
41:56
PR-308: Visual Concept Reasoning Networks
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