Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 The ALℓ_0CORE Tensor Decomposition for Sparse Count Data AISTATS 2024 The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators NeurIPS 2024 The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective CVPR 2024 The Background Also Matters: Background-Aware Motion-Guided Objects Discovery WACV 2024 The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese EACL 2024 The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance EMNLP 2024 The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline NAACL 2024 The Benefits of Balance: From Information Projections to Variance Reduction NeurIPS 2024 The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits COLT 2024 The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance ACL 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024 The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal EMNLP 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The complexity of non-stationary reinforcement learning ALT 2024 The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024 The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication ACL 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective EMNLP 2024 The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models ICLR 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024