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Methodology
← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NIPS 2024
Parallel Backpropagation for Shared-Feature Visualization
NIPS 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NIPS 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
NIPS 2024
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
NIPS 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
NIPS 2024
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
NIPS 2024
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing
AAAI 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
AAAI 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NIPS 2024
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
CVPR 2024
DenoiseRep: Denoising Model for Representation Learning
NIPS 2024
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
NIPS 2024
Learning symmetries via weight-sharing with doubly stochastic tensors
NIPS 2024
How Far Can We Compress Instant-NGP-Based NeRF?
CVPR 2024
Generalizable Implicit Motion Modeling for Video Frame Interpolation
NIPS 2024
Beyond Average: Individualized Visual Scanpath Prediction
CVPR 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NIPS 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
EMNLP 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
NIPS 2024
Topic Modeling: Contextual Token Embeddings Are All You Need
EMNLP 2024
Association Pattern-aware Fusion for Biological Entity Relationship Prediction
NIPS 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
NIPS 2024
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