Few- /Zero-Shot Paper List

CVPR 2022

1. Zero-Shot Text-Guided Object Generation with Dream Fields
2. Few-Shot Incremental Learning for Label-to-Image Translation
3. Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
4. Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
5. Balanced and Hierarchical Relation Learning for One-shot Object Detection
6. Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
7. Few-Shot Font Generation by Learning Fine-Grained Local Styles
8. Distinguishing Unseen from Seen for Generalized Zero-shot Learning
9. Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
10. Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition
11. Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
12. Forward Compatible Few-Shot Class-Incremental Learning
13. Ranking Distance Calibration for Cross-Domain Few-Shot Learning
14. Learning to Memorize Feature Hallucination for One-Shot Image Generation
15. Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations
16. En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning
17. Few-Shot Object Detection with Fully Cross-Transformer
18. FS6D: Few-Shot 6D Pose Estimation of Novel Objects
19. Generating Representative Samples for Few-Shot Classification
20. Task Discrepancy Maximization for Fine-grained Few-Shot Classification
21. EASE: Unsupervised Discriminant Subspace Learning for Transductive
22. A Closer Look at Few-shot Image Generation
23. Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition
24. VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
25. Sketch3T: Test-Time Training for Zero-Shot SBIR
26. Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language
27. Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
28. Integrative Few-Shot Learning for Classification and Segmentation
29. Constrained Few-shot Class-incremental Learning
30. iFS-RCNN: An Incremental Few-shot Instance Segmenter
31. Cross-domain Few-shot Learning with Task-specific Adapters
32. OnePose: One-Shot Object Pose Estimation without CAD Models
33. Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
34. GANORCON: Are Generative Models Useful for Few-shot Segmentation?
35. MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
36. Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer
37. Few-shot Learning with Noisy Labels
38. Semantic-aligned Fusion Transformer for One-shot Object Detection
39. Robust Region Feature Synthesizer for Zero-Shot Object Detection
40. It’s All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
41. OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
42. Robust fine-tuning of zero-shot models
43. Matching Feature Sets for Few-Shot Image Classification
44. XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation
45. Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
46. Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
47. KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
48. Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
49. Few-Shot Head Swapping in the Wild
50. Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
51. CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
52. Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
53. Generalized Few-shot Semantic Segmentation
54. Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
55. MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
56. Semi-Supervised Few-shot Learning via Multi-Factor Clustering
57. InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
58. Label, Verify, Correct: A Simple Few Shot Object Detection Method
59. Decoupling Zero-Shot Semantic Segmentation
60. Multi-modal Extreme Classification
61. Few-shot Backdoor Defense Using Shapley Estimation
62. Attribute Group Editing for Reliable Few-shot Image Generation
63. IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
64. A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-shot Representation Forecasting
65. Learning Non-target Knowledge for Few-shot Semantic Segmentation
66. Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
67. ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
68. LiT: Zero-Shot Transfer with Locked-image text Tuning
69. Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
70. CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
71. Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging
72. Which images to label for few-shot medical landmark detection?
73. HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet
74. Kernelized Few-shot Object Detection with Efficient Integral Aggregation
75. Cross-modal Representation Learning for Zero-shot Action Recognition
76. Acquiring a Dynamic Light Field through a Single-Shot Coded Image
77. Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
78. HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
79. Hybrid Relation Guided Set Matching for Few-shot Action Recognition
80. Spatio-temporal Relation Modeling for Few-shot Action Recognition
81. YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset
82. Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species

ACL 2022

Long Papers

1. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
2. Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
3. FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
4. Learn to Adapt for Generalized Zero-Shot Text Classification
5. Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
6. Few-Shot Class-Incremental Learning for Named Entity Recognition
7. Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
8. On The Ingredients of an Effective Zero-shot Semantic Parser
9. Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures
10. Generating Scientific Claims for Zero-Shot Scientific Fact Checking
11. Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation
12. Prompt-free and Efficient Few-shot Learning with Language Models
13. Neural Pipeline for Zero-Shot Data-to-Text Generation
14. Zero-Shot Cross-lingual Semantic Parsing
15. Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
16. Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
17. Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting
18. ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
19. Noisy Channel Language Model Prompting for Few-Shot Text Classification
20. Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
21. Few-shot Named Entity Recognition with Self-describing Networks
22. Pre-training to Match for Unified Low-shot Relation Extraction
23. CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment
24. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
25. CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
26. Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing
27. Prototypical Verbalizer for Prompt-based Few-shot Tuning
28. Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
29. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
30. Label Semantic Aware Pre-training for Few-shot Text Classification
31. PPT: Pre-trained Prompt Tuning for Few-shot Learning
32. Few-Shot Learning with Siamese Networks and Label Tuning
33. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
34. End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding

Short Papers

35. Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
36. LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory
37. Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning

Findings

38. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
39. Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning
40. Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation
41. Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging
42. A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
43. A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking
44. Decomposed Meta-Learning for Few-Shot Named Entity Recognition
45. N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
46. Label Semantics for Few Shot Named Entity Recognition
47. Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble](https://aclanthology.org/2022.findings-acl.166/)
48. Hierarchical Recurrent Aggregative Generation for Few-Shot NLG
49. Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
50. OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
51. LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
52. EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization
53. Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
54. Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
55. A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation
56. CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding
57. Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise
58. Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework