Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
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
Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis
ACL 2024
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
ACL 2024
Towards Progressive Multi-Frequency Representation for Image Warping
CVPR 2024
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
ACL 2024
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
ACL 2024
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
ACL 2024
UTRad-NLP at #SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models
ACL 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.
ACL 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
ACL 2024
Learning New Tasks from a Few Examples with Soft-Label Prototypes
ACL 2024
Probing the Emergence of Cross-lingual Alignment during LLM Training
ACL 2024
Concept-aware Data Construction Improves In-context Learning of Language Models
ACL 2024
Parallel Structures in Pre-training Data Yield In-Context Learning
ACL 2024
Space Decomposition for Sentence Embedding
ACL 2024
Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
ACL 2024
Whitening Not Recommended for Classification Tasks in LLMs
ACL 2024
Large Language Models Relearn Removed Concepts
ACL 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
ACL 2024
Deterministic Reversible Data Augmentation for Neural Machine Translation
ACL 2024
What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization
ACL 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
AAAI 2024
<
1
…
24
25
26
…
181
>