Few-Shot Learning

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Few-Shot Learning

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Zero-Shot Inference

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Zero-Shot Benchmark

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203 papers

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Re-Evaluating Continual Learning with Few-Shot Adaptation
Jun 2, 2026Amogh Inamdar, Matthew So, Vici Milenia +1Efficient Continual Learning Continual Learning Methods
Provable Data Scaling Law for Meta Learning via Complexity Minimization
Jun 1, 2026Kazuto Fukuchi, Ryuichiro Hataya, Kota MatsuiMeta-Learning Model Pretraining
3rd Place at CVPR 2026 CASTLE Challenge: Agentic Multi-View Long-Context Video Understanding via Hierarchical Knowledge Graph Retrieval
Jun 1, 2026Raghad Albusayes, Munirah AlyahyaVideo Understanding Cvpr
Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs
Jun 1, 2026Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1Zero-Shot Inference Modality Gap
Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
May 31, 2026Yifan Wu, Junjie Wu, Kai Wu +2Zero-Shot Forecasting Zero-Shot Inference
Graph Transfer Learning via Shared Latent Geometry: Theory and Applications
May 30, 2026Tong Wu, Andrew Campbell, Anna ScaglioneLatent Cluster Geometry Physics-Informed Machine Learning
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
May 29, 2026Zhengyang Hu, Yanzhi Chen, Hanxiang Ren +5Mutual Information Temporal Dependence
Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
May 29, 2026Nan Bao, Yifan Zhao, Wenzhuang Wang +1Large-Scale Image Generation Few-Shot Learning
Primitive Subspaces Mediate Few-Shot Transfer in VLAs
May 29, 2026Anya Singh, Cabrel Happi, Jai Relan +2Vision-Language-Action Models Few-Shot Learning
AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
May 28, 2026Yi Zhang, Jiawen Zhu, Lele Fu +1Zero-Shot Anomaly Detection Anomalous Frame Detection
MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains
May 28, 2026Ashutosh Ojha, Vinay Aggarwal, Ashutosh Srivastava +3Web Few-Shot Learning
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
May 27, 2026Volodymyr OvcharovLegal Natural Language Processing Benchmarks Ukrainian
EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection
May 27, 2026Xinyu Zhao, Qingyun Sun, Jiayi Luo +1Zero-Shot Anomaly Detection Anomalous Frame Detection
Learning to Translate from Soft to Hard LLM Prompts
May 26, 2026Pitipat Kongsomjit, Suryansh Goyal, Jacob WhitehillMachine Translation Models Prompt Tuning
FSA-GRPO: Teaching Auditory LLMs to Use Few-shot Demonstrations
May 26, 2026Haolong Zheng, Siyin Wang, Xulin Fan +2Large Audio Language Models Few-Shot Learning
Advancing Graph Few-Shot Learning via In-Context Learning
May 23, 2026Renchu Guan, Yajun Wang, Chunli Guo +5Few-Shot Learning In-Context Learning
Towards a General Intelligence and Interface for Wearable Health Data
May 21, 2026Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari +37Wearable Devices Few-Shot Learning
Improving 3D Labeling in Self-Driving by Inferring Vehicle Information using Vision Language Models
May 20, 2026Steven Chen, Shivesh Khaitan, Nemanja DjuricZero-Shot Inference Autonomous Driving
Zero-shot adaptation to order book dynamics
May 20, 2026Arip AsadulaevMatching Markets Order
Lighting-aware Unified Model for Instance Segmentation
May 19, 2026Qisai Liu, Alloy Das, Zhanhong Jiang +4Illumination Segment Anything Model
PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
May 19, 2026Gabriele Rosi, Fabio Cermelli, Carlo Masone +1Few-Shot Segmentation Few-Shot Learning
From a Single Demonstration to a General Policy for Contact-Rich Manipulation
May 17, 2026Xing Li, Oliver BrockRobotic Manipulation Policies Real-World Manipulation Tasks
How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning
May 15, 2026Entang Wang, Yiwei Wang, Aleksandra Bakalova +1In-Context Learning Few-Shot Learning
Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative Study
May 14, 2026Volodymyr OvcharovZero-Shot Benchmark Legal Natural Language Processing Benchmarks
Exploring Vision-Language Models for Online Signature Verification: A Zero-Shot Capability Study
May 14, 2026Marta Robledo-Moreno, Ruben Vera-Rodriguez, Ruben Tolosana +1Online Signature Verification Large Vision Language Models
Rethinking the Good Enough Embedding for Easy Few-Shot Learning
May 13, 2026Michael Karnes, Alper YilmazFew-Shot Learning Visual Embeddings
Teaching and Learning under Deductive Errors
May 13, 2026Jan Arne Telle, Brigt Håvardstun, Jose Hernandez-OralloReasoning Errors Errors
A $_3$ B $_2$ : Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning
May 13, 2026Yiyun Zhou, Zhonghua Jiang, Wenkang Han +4Vision-Language Model Adaptation Few-Shot Learning
Scaling few-shot spoken word classification with generative meta-continual learning
May 13, 2026Louise Beyers, Batsirayi Mupamhi Ziki, Ruan van der MerweFew-Shot Learning Subword Tokenization
Reinforcing VLAs in Task-Agnostic World Models
May 12, 2026Yucen Wang, Rui Yu, Fengming Zhang +5Vision-Language-Action Models Zero-Shot Inference
Unlocking Compositional Generalization in Continual Few-Shot Learning
May 12, 2026Phu-Quy Nguyen-Lam, Phu-Hoa Pham, Dao Sy Duy Minh +3Few-Shot Learning Self-Supervised Vision Transformers
Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
May 12, 2026Yaze Zhao, Yicong Liu, Yixiong Zou +2Few-Shot Learning Contrastive Loss
Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning
May 11, 2026Yuna Haseyama, Tomoki Ito, Hiroki Sakaji +1Few-Shot Learning Annotated Data
OZ-TAL: Online Zero-Shot Temporal Action Localization
May 11, 2026Chaolei Han, Hongsong Wang, Xin Gong +1Temporal Action Localization Zero-Shot Inference
G-Zero: Self-Play for Open-Ended Generation from Zero Data
May 11, 2026Chengsong Huang, Haolin Liu, Tong Zheng +7Self-Play Recursive Self-Improvement
Towards Generative Predictive Display for Vision-Based Teleoperation: A Zero-Shot Benchmark of Off-the-Shelf Video Models
May 10, 2026Aws Khalil, Jaerock KwonFuture Video Prediction Large-Scale Video Generation Models
When Adaptation Fails: A Gradient-Based Diagnosis of Collapsed Gating in Vision-Language Prompt Learning
May 10, 2026Yunxuan Fang, Ziwei Zhang, Xinhe WangVision-Language Model Adaptation Few-Shot Learning
Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning
May 10, 2026Lin Li, Jiawei Huang, Qihao Quan +7Time-Series Classification Few-Shot Learning
Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
May 9, 2026Minmin Zhang, Sina Aghaei, Soroush SaghafianIn-Context Learning Large Language Model Fine-Tuning
Zero-Shot Chinese Character Recognition via Global-Local Dual-Branch Alignment and Hierarchical Inference
May 9, 2026Wei Cao, Hao Xu, Xiaolei DiaoZero-Shot Inference Fine-Grained Perception
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
May 8, 2026Salim Khazem, Ibrahim Mohamed Serouis, Zakaria EzzahedFew-Shot Learning
SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data
May 8, 2026Kacper Jurek, Wojciech Batko, Marek Śmieja +1Tabular Learning Semi-Supervised Learning
In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification
May 8, 2026Ming LiuFew-Shot Learning In-Context
GRaSp: Automatic Example Optimization for In-Context Learning in Low-Data Tasks
May 8, 2026Simen Bihaug-Frøyland, Henrik BrådlandIn-Context Learning Few-Shot Learning
Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
May 6, 2026Hongxu Chen, Yanghao Wang, Bowei Zhu +6Few-Shot Learning Cross-Modal Alignment
Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
May 6, 2026Md. Safirur Rashid, Sabbir Ahmed, Muhammad Usama Islam +2Few-Shot Learning Skin Lesion Classification
AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse
May 5, 2026Jie Ou, Jinyu Guo, Shiyao Guo +5Few-Shot Learning In-Context Learning
SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
May 4, 2026Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros +27Multilingual Benchmark English
LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment
May 4, 2026Junyi Hu, Qiji Zhou, Lei Zhang +1Video-Text Alignment Zero-Shot Inference
Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training
May 4, 2026Luong N. NguyenLarge Language Model Uncertainty Zero-Shot Benchmark
Ultrasound Vision-Language Alignment via Contrastive Learning
May 4, 2026Zhuoyang Lyu, Yiyang Zhang, Tongxin Wang +1Ultrasound Vision-Language Alignment
Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations
May 2, 2026Yiqi Rao, Pavlos ProtopapasPartial Differential Equation Benchmarks Transfer Learning
Intrinsic Gradient Suppression for Label-Noise Prompt Tuning in Vision-Language Models
May 1, 2026Jiayu Li, Jiaxin Qi, Sheng Zhou +2Prompt Tuning Zero-Shot Inference
PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
May 1, 2026Zihan Ding, Ziyuan Yang, Yi ZhangMemes Hate Speech
Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
Apr 30, 2026Yonghao Liu, Jialu Sun, Wei Pang +4Graph Representation Learning Few-Shot Learning
BatteryPass-12K: The First Dataset for the Novel Digital Battery Passport Conformance Task
Apr 28, 2026Tosin Adewumi, Martin Karlsson, Lama Alkhaled +1Benchmark Datasets Lithium-Ion Batteries
Improving Diversity in Black-box Few-shot Knowledge Distillation
Apr 28, 2026Tri-Nhan Vo, Dang Nguyen, Kien Do +1Knowledge Distillation Few-Shot Learning
Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge
Apr 26, 2026Wentao Zhang, Qi Zhang, Mingkun Xu +6Agricultural Landscapes Remote Sensing Image Change Captioning
VDLF-Net: Variational Feature Fusion for Adaptive and Few-Shot Visual Learning
Apr 26, 2026Jiawei YanFew-Shot Learning Feature Pyramid Networks
All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams
Apr 24, 2026Marco Pegoraro, Jonas Seng, Dustin Heller +2Fine-Grained Video Understanding Streaming Video

Jun 2, 2026 · cs.LGJ/K move · Enter open · S save

Re-Evaluating Continual Learning with Few-Shot Adaptation

Amogh Inamdar, Matthew So, Vici Milenia, Richard Zemel

Department of Computer Science Columbia University

Continual learning methods aim to maximize the stability and plasticity of machine learning models that are trained on a sequence of tasks. The standard measure of stability (i.e., forgetting) is the 0-shot performance of a model on previously learned tasks, and plasticity, the performance on the most recently learned task. However, 0-shot evaluation does not fully measure a model or method's ability to retain learned information or adapt quickly to new information, as it requires perfect recall across multiple tasks. In this paper, we propose few-shot evaluation as a more comprehensive assessment of the stability and plasticity of a continual learning system. We conduct a fine-grained assessment on task sequences for continual image classification and find that this paradigm produces novel insights into the performance of popular continual learning strategies. Through few-shot evaluation with a novel metric -- per-shot plasticity -- we show that adding `foresight' to continual learning methods via the meta-learning of a short sequence of future tasks induces learning-to-learn behavior over the task sequence.

Efficient Continual Learning Continual Learning Methods Few-Shot Learning Plasticity

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