oguzhanercan
's Collections
Representation Learning
updated
End-to-End Vision Tokenizer Tuning
Paper
•
2505.10562
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Published
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22
Global and Local Entailment Learning for Natural World Imagery
Paper
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2506.21476
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Published
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1
Paper
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2508.10104
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Published
•
291
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task
Arithmetic
Paper
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2509.01363
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Published
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58
AToken: A Unified Tokenizer for Vision
Paper
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2509.14476
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Published
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36
Lost in Embeddings: Information Loss in Vision-Language Models
Paper
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2509.11986
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Published
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28
Latent Zoning Network: A Unified Principle for Generative Modeling,
Representation Learning, and Classification
Paper
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2509.15591
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Published
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45
SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model
Paper
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2510.12709
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Published
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12
Better Together: Leveraging Unpaired Multimodal Data for Stronger
Unimodal Models
Paper
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2510.08492
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Published
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8
GRACE: Generative Representation Learning via Contrastive Policy
Optimization
Paper
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2510.04506
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Published
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10
Latent Diffusion Model without Variational Autoencoder
Paper
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2510.15301
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Published
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49
Model Merging with Functional Dual Anchors
Paper
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2510.21223
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Published
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12
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via
Hierarchical Model Merging
Paper
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2510.20479
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Published
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11
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization
Formats
Paper
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2510.25602
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Published
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77
Defeating the Training-Inference Mismatch via FP16
Paper
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2510.26788
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Published
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29
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Paper
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2511.00405
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Published
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5