Core Methods
51,083 papers (8 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (22,308)
Classification (15,497)
Regression (5,281)
Clustering (3,809)
Embedding Learning (3,795)
Metric Learning (2,938)
Graph Neural Networks (1,211)
Graphical Models (1,093)
Feature Learning (891)
Kernel Methods (795)
Dimensionality Reduction (780)
Interpretability (512)
Feature Selection (511)
Matrix Factorization (408)
Ranking (315)
Ensemble Methods (300)
Support Vector Machine (295)
Anomaly Detection (281)
Sequence Modeling (244)
Structured Prediction (237)
Sequence Labeling (157)
Topic Modeling (150)
Sparse Coding (140)
Matrix Completion (131)
Neural Networks (114)
Retrieval (105)
Density Estimation (104)
Estimation (83)
Inference (56)
Decision Tree (50)
Feature Extraction (40)
Model Selection (39)
Prediction (35)
Information Extraction (7)
Papers per year
4
21
30
55
40
51
225
219
249
257
357
364
480
942
818
966
1,394
2,092
3,114
4,415
4,853
5,064
5,371
5,992
6,412
5,823
1,475
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
ICML 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
ICLR 2024
BPID: A Benchmark for Personal Identity Deduplication
EMNLP 2024
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
NeurIPS 2024
Brain Decodes Deep Nets
CVPR 2024
Brain decoding: toward real-time reconstruction of visual perception
ICLR 2024
BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes
SemEval 2024
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
ACL 2024
Brandeis at VarDial 2024 DSL-ML Shared Task: Multilingual Models, Simple Baselines and Data Augmentation
NAACL 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
NeurIPS 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances
AISTATS 2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
NeurIPS 2024
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling
EMNLP 2024
Breaking the curse of dimensionality in structured density estimation
NeurIPS 2024
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
EMNLP 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
EMNLP 2024
Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation.
COLING 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
NeurIPS 2024
Bridging Child-Centered Speech Language Identification and Language Diarization via Phonetics
Interspeech 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
NeurIPS 2024
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors
IJCAI 2024
Bridging Local Details and Global Context in Text-Attributed Graphs
EMNLP 2024
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
ICLR 2024
Bridging State and History Representations: Understanding Self-Predictive RL
ICLR 2024
Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems
COLING 2024